<|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:"Where To Go? Drivers of Venezuelan Asylum Seekers."
Abstract:"This article reports an investigation of the drivers of Venezuelan asylum seekers people who have left this country given the scarcity of food and medicines and the troubled actual socio-economic situation. To do so, we use data about the main countries in which Venezuelans have claimed for asylum during the period 2014-17. Using a panel-regression model, we have found that Venezuelan asylum seekers increase, on average, in countries that (i) are geographically nearby Venezuela, (ii) are less politically stable and (iii) have higher real income per capita, lower inflation rates and higher unemployment rates. Still, such a general profile of countries preferred by Venezuelan asylum seekers is nuanced by the small magnitude of the effects regarding the economic variables: it appears that Venezuelan asylum seekers hardly consider the economic situation of a country for deciding to stay. Furthermore, the empirical evidence provided by our model reflects the deterioration of Venezuela's socio-economic aspects.."
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 = [];
Q3 = [];
Q4 = [];
Q5 = [];
Q6 = [].<|eot_id|><|start_header_id|>assistant<|end_header_id|>Answer:
Q1 = [1];
Q2 = [3,4,5,6];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Where To Go? Drivers of Venezuelan Asylum Seekers
This article reports an investigation of the drivers of Venezuelan asylum seekers people who have left this country given the scarcity of food and medicines and the troubled actual socio-economic situation. To do so, we use data about the main countries in which Venezuelans have claimed for asylum during the period 2014-17. Using a panel-regression model, we have found that Venezuelan asylum seekers increase, on average, in countries that (i) are geographically nearby Venezuela, (ii) are less politically stable and (iii) have higher real income per capita, lower inflation rates and higher unemployment rates. Still, such a general profile of countries preferred by Venezuelan asylum seekers is nuanced by the small magnitude of the effects regarding the economic variables: it appears that Venezuelan asylum seekers hardly consider the economic situation of a country for deciding to stay. Furthermore, the empirical evidence provided by our model reflects the deterioration of Venezuela's socio-economic aspects.