<|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:"Revisiting the Gravity Model of Migration."
Abstract:"The recent global migration pattern indicates the importance of the movement of people from developing countries to developed countries in search of better economic opportunities. The G20 report of 'International Migration and Displacement Trends' mentions India at the top of the list of highly educated emigrants in G20 countries.The current study addresses the endogeneity problem in the migration determinants and attempts to highlight the major regional and economic determinants of migration flow from India to major OECD countries using the Gravity model of migration.We apply the Prais-Winsten regression method to address the cross-sectional correlation, while we apply instrumental variable regression and Hausman-Taylor regression estimation techniques to deal with the endogeneity issue. The findings reveal that the population of India, distance, common official language and per capita income differential are the major determinants of migration from India. In the backdrop of our findings, in terms of per capita income differential, there is a need for an upward revision in the pay scale of the white-collar workers in the organised sector.."
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 = [];
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Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
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Q5 = [1];
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Revisiting the Gravity Model of Migration
The recent global migration pattern indicates the importance of the movement of people from developing countries to developed countries in search of better economic opportunities. The G20 report of 'International Migration and Displacement Trends' mentions India at the top of the list of highly educated emigrants in G20 countries.The current study addresses the endogeneity problem in the migration determinants and attempts to highlight the major regional and economic determinants of migration flow from India to major OECD countries using the Gravity model of migration.We apply the Prais-Winsten regression method to address the cross-sectional correlation, while we apply instrumental variable regression and Hausman-Taylor regression estimation techniques to deal with the endogeneity issue. The findings reveal that the population of India, distance, common official language and per capita income differential are the major determinants of migration from India. In the backdrop of our findings, in terms of per capita income differential, there is a need for an upward revision in the pay scale of the white-collar workers in the organised sector.