{"id":"W3102414796","doi":"10.1093/socpro/spaa046","title":"Assembling the Local Politics of Noncitizenship: Contesting Access to Healthcare in Toronto-Sanctuary City","year":2020,"lang":"en","type":"article","venue":"Social Problems","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Citizenship; Politics; Discretion; Health care; State (computer science); Sociology; Narrative; Political science; Immigration; Gender studies; Public administration; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001736561,0.00022078,0.0002681025,0.001011934,0.02038029,0.004141895,0.001085502,0.0008090753,0.004081928],"category_scores_gemma":[0.00234738,0.0002335886,0.0001577198,0.001804441,0.01454324,0.0009648206,0.005390662,0.001425558,0.0001147862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06553259,"about_ca_system_score_gemma":0.04985139,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9407697,"about_ca_topic_score_gemma":0.9847143,"domain_scores_codex":[0.997713,0.0007854365,0.00004172339,0.0001450595,0.0002472094,0.001067619],"domain_scores_gemma":[0.9977937,0.0008547446,0.00023203,0.00009386409,0.0003264271,0.0006992587],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005716153,0.00002572958,0.03048256,0.0001236836,0.00001244659,0.002684285,0.9346698,0.0002086983,0.001047074,0.01751496,0.004002243,0.009171406],"study_design_scores_gemma":[0.000001872983,0.00001067402,0.02275814,0.00005894379,0.000004489473,0.00008498452,0.9632536,0.00006059211,0.0001197604,0.000286566,0.01334859,0.00001170298],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764969,0.0004411356,0.0001859222,0.004367024,0.00002531747,0.0000361553,0.00006585138,0.000006884078,0.01837493],"genre_scores_gemma":[0.9971591,0.0001566093,0.00005390469,0.0001882469,0.000003713391,0.000008426508,0.00001760829,0.000003646485,0.002408716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06553259,"threshold_uncertainty_score":0.4754744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2348313327377654,"score_gpt":0.47054823340073,"score_spread":0.2357169006629646,"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."}}