<|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:"Gains and losses of migrants and income through intercounty migration in the US, 1992-1993."
Abstract:"Migration alters both the origin and destination of migrants in a variety of ways. This study uses data recently made available by the Internal Revenue Service to document gains and losses of both persons and income accruing to counties in the United States as a result of internal migration between 1992 and 1993. The degree to which migration alters the size of a county's population as well as the amount of income received in that county is assessed by means of effectiveness rates which are ratios of net flows to total flows. The majority of counties, especially those in the South and West gained both migrants and income during the period; losses were confined largely to the Northeast, Great Plains and California. Counties at the edges of large metropolitan areas gained income even more rapidly than people; counties containing large central cities lost income even faster than they lost migrants. Amenity-laden recreational and retirement counties were also among those who gained both people and income via migration. Overall, these results indicate an exacerbation of demographic and economic differences between regions as well as within metropolitan areas.."
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];
Q3 = [];
Q4 = [0];
Q5 = [1];
Q6 = [1].
Gains and losses of migrants and income through intercounty migration in the US, 1992-1993
Migration alters both the origin and destination of migrants in a variety of ways. This study uses data recently made available by the Internal Revenue Service to document gains and losses of both persons and income accruing to counties in the United States as a result of internal migration between 1992 and 1993. The degree to which migration alters the size of a county's population as well as the amount of income received in that county is assessed by means of effectiveness rates which are ratios of net flows to total flows. The majority of counties, especially those in the South and West gained both migrants and income during the period; losses were confined largely to the Northeast, Great Plains and California. Counties at the edges of large metropolitan areas gained income even more rapidly than people; counties containing large central cities lost income even faster than they lost migrants. Amenity-laden recreational and retirement counties were also among those who gained both people and income via migration. Overall, these results indicate an exacerbation of demographic and economic differences between regions as well as within metropolitan areas.