<|begin_of_text|><|start_header_id|>system<|end_header_id|>You are an expert on climate change, human mobility and migration. Answer the question truthfully.<|eot_id|><|start_header_id|>user<|end_header_id|>Here are the title and abstract of a scientific paper probably related to climate change, human mobility and migration..
Title:"An Integrated Approach for Capturing Intermediate Demographic Changes."
Abstract:"Developing countries face greater urbanization challenges than developed countries. The majority of the challenges that developing countries face are due to demographic changes (DCs). The DCs, particularly in disparities, have a major influence on development processes and inclusive and balanced growth. Due to the lack of a regular monitoring mechanism for DCs, several tools and methods were developed to extrapolate the data for DCs. Most of them rely on census data and do not take into consideration the dynamic aspect of migration that plays a major role in DC. This study develops a hybrid approach to model the magnitude of spatial and temporal changes in DCs. The rational choice theory was considered to understand the reasons for the movement of people. To model DCs, some of the macro factors that play an important role were identified. A hybrid approach that integrates the analytical hierarchy process-entropy (AHP) method was used to evaluate criterion weights subjectively and objectively. The method was applied on a mesoscale, which showed interdistrict disparities. The real-time values were scaled and overlaid with AHP-entropy obtained weights with the help of weighted sum overlay tool. The values were processed in a geographic information system (GIS), which showed the regional disparities and their effects on the overall demographic scenario of a district. The ratio of changes in DCs was further evaluated as discrete values. The final values of the DCs obtained from the model were compared with the actual values of different districts, which showed an average of 80% accuracy of the model.."
I have six questions you need to answer.
Q1: Is this article is about 'human migration mobility': 1 = yes; 0 = no. Answer with a number. Do not give a textual explanation.

Q2: What drivers of migration and mobility does the article study? 0 = 'other', 1 = 'climate', 2 = 'environment', 3 = 'economic', 4 = 'conflict', 5 = 'political', 6 = 'social', 7 = 'family'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q3: What is the overall sentiment of the article?:0 = 'neutral', 1 = 'negative', 2 = 'positive'. Answer with a number. Do not give a textual explanation.

Q4: What type of climate or environmental keywords are explicitly mentioned?:  0 = 'none', 1 = 'algal blooms', 2 = 'infestation', 3 = 'infectious diseases', 4 = 'ocean acidification', 5 = 'sea ice', 6 = 'acid rain', 7 = 'drought', 8 = 'cold wave', 9 = 'heat wave', 10 = 'glacial', 11 = 'wildfire', 12 = 'air pollution', 13 = 'biodiversity loss', 14 = 'coastal erosion', 15 = 'land degradation', 16 = 'deforestation', 17 = 'desertification', 18 = 'water pollution', 19 = 'diebacks', 20 = 'permafrost loss', 21 = 'sand mining', 22 = 'sea level rise', 23 = 'earthquake', 24 = 'tsunami', 25 = 'volcanic', 26 = 'flood', 27 = 'avalanche', 28 = 'landslide', 29 = 'downburst', 30 = 'thunderstorm', 31 = 'sandstorm', 32 = 'haze', 33 = 'storm', 34 = 'cyclone', 35 = 'blizzard', 36 = 'hail', 37 = 'snow', 38 = 'tornado', 39 = 'wind', 40 = 'hurricane', 41 = 'typhoon', 42 = 'other'. Answer with a number or a sequence of numbers separated by commas. Do not give a textual explanation. 

Q5: What discipline does the article belong to?: 0 = 'other', 1 = 'social science', 2 = 'natural science', 3 = 'arts and humanities', 4 = 'multidiscipline and interdiscipline'. Answer with a number. Do not give a textual explanation.

Q6: Does the article apply quantitative and/or statistical analysis?: 0 = 'no', 1 = 'yes'. Answer with a number. Do not give a textual explanation.

Use the following template: 

Q1 = [];
Q2 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [0];
Q2 = [];
Q3 = [];
Q4 = [];
Q5 = [1];
Q6 = [1].
An Integrated Approach for Capturing Intermediate Demographic Changes
Developing countries face greater urbanization challenges than developed countries. The majority of the challenges that developing countries face are due to demographic changes (DCs). The DCs, particularly in disparities, have a major influence on development processes and inclusive and balanced growth. Due to the lack of a regular monitoring mechanism for DCs, several tools and methods were developed to extrapolate the data for DCs. Most of them rely on census data and do not take into consideration the dynamic aspect of migration that plays a major role in DC. This study develops a hybrid approach to model the magnitude of spatial and temporal changes in DCs. The rational choice theory was considered to understand the reasons for the movement of people. To model DCs, some of the macro factors that play an important role were identified. A hybrid approach that integrates the analytical hierarchy process-entropy (AHP) method was used to evaluate criterion weights subjectively and objectively. The method was applied on a mesoscale, which showed interdistrict disparities. The real-time values were scaled and overlaid with AHP-entropy obtained weights with the help of weighted sum overlay tool. The values were processed in a geographic information system (GIS), which showed the regional disparities and their effects on the overall demographic scenario of a district. The ratio of changes in DCs was further evaluated as discrete values. The final values of the DCs obtained from the model were compared with the actual values of different districts, which showed an average of 80% accuracy of the model.