<|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:"Which doctors do we trust? A vignette experiment of how gender and ethnicity influence trust."
Abstract:"Is people's trust in doctors affected by their ethnicity or gender? It is often assumed that highly skilled migrants are protected from the worst effects of discrimination. Yet, they also report high degrees of discrimination. This study examines whether ethnic and gendered stereotypes influence trust in general practitioners in Norway. The question is investigated using a survey experiment. Respondents receive a brief resume of a general practitioner where the ethnicity and gender of the physician are randomly varied. Thereafter, the study focuses on investigating the interaction between the respondents' and fictive GPs' ethnicity and gender. The results show that while the majority population is indifferent to the ethnicity of the physicians, they prefer females. Non-Western minorities have a bias in favour of Pakistani-named GPs but are indifferent to the GP's gender.."
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 = [0];
Q2 = [];
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Q6 = [1].
Which doctors do we trust? A vignette experiment of how gender and ethnicity influence trust
Is people's trust in doctors affected by their ethnicity or gender? It is often assumed that highly skilled migrants are protected from the worst effects of discrimination. Yet, they also report high degrees of discrimination. This study examines whether ethnic and gendered stereotypes influence trust in general practitioners in Norway. The question is investigated using a survey experiment. Respondents receive a brief resume of a general practitioner where the ethnicity and gender of the physician are randomly varied. Thereafter, the study focuses on investigating the interaction between the respondents' and fictive GPs' ethnicity and gender. The results show that while the majority population is indifferent to the ethnicity of the physicians, they prefer females. Non-Western minorities have a bias in favour of Pakistani-named GPs but are indifferent to the GP's gender.