{"id":"W2515781884","doi":"10.1126/science.aag1556","title":"Tensions of refugee politics in Europe","year":2016,"lang":"en","type":"article","venue":"Science","topic":"Migration, Refugees, and Integration","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Global Health Research; University of Toronto","funders":"","keywords":"Refugee; Politics; Political science; State (computer science); Welfare; Welfare state; Political economy; Sociology; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01143701,0.0002217673,0.0009602495,0.002820825,0.01106145,0.0173902,0.0009792816,0.005460784,0.004129883],"category_scores_gemma":[0.006918133,0.0003447871,0.0004167278,0.003299368,0.01393548,0.004824101,0.007865695,0.003407274,0.0002781508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005534023,"about_ca_system_score_gemma":0.004460198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137506,"about_ca_topic_score_gemma":0.01578557,"domain_scores_codex":[0.9931386,0.003279979,0.0002638678,0.0004353416,0.0003942045,0.002487923],"domain_scores_gemma":[0.9972836,0.001143027,0.0003083275,0.0001320095,0.0002331228,0.000899985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003206454,0.0001712739,0.02153223,0.0001909398,0.0001103568,0.001192633,0.08784351,0.000575611,0.0004537298,0.8467946,0.01040019,0.03041424],"study_design_scores_gemma":[0.0002120514,0.0001634191,0.1582625,0.001319832,0.0001034817,0.0009224552,0.3125754,0.000527197,0.0005022458,0.1748875,0.3503843,0.0001395522],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7559225,0.0171879,0.0005572809,0.06111922,0.0005433508,0.00001998861,0.00008682609,0.00001805804,0.1645448],"genre_scores_gemma":[0.9913885,0.001436349,0.000077363,0.004247907,0.0001035513,0.00001137858,0.00002524013,0.00001000878,0.002699816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0173902,"threshold_uncertainty_score":0.06048542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02649838760595354,"score_gpt":0.3310970750377757,"score_spread":0.3045986874318222,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}