{"id":"W4242809706","doi":"10.32920/ryerson.14665584.v1","title":"An Excessive Demand: Immigrants with Disabilities and Medical Admissability in Canada’s Immigration System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Migration, Identity, and Health","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Immigration; Settlement (finance); Refugee; Immigration policy; Political science; Perspective (graphical); Economic growth; Demographic economics; Sociology; Business; Economics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001760593,0.0002150482,0.0005098872,0.00006707809,0.0004746881,0.0002574146,0.0002987182,0.0003178515,0.0004311942],"category_scores_gemma":[0.0004152172,0.0001814546,0.00003744663,0.0001522554,0.0003078955,0.0003120255,0.00009963624,0.0004278143,7.306452e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001815958,"about_ca_system_score_gemma":0.02389217,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9993343,"about_ca_topic_score_gemma":0.9999939,"domain_scores_codex":[0.996292,0.0008703567,0.0005487836,0.0006549403,0.001261341,0.0003725686],"domain_scores_gemma":[0.9984086,0.0002242031,0.0001764629,0.0003751764,0.0002696223,0.0005459393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002562215,0.00007009062,0.9431238,0.0008156165,0.0000156678,0.00001670678,0.05054193,0.00003604385,5.859616e-7,0.004712088,0.0002454778,0.00039644],"study_design_scores_gemma":[0.0002406707,0.00003347878,0.5062573,0.0005008657,0.00002737766,0.000003792276,0.490438,0.001319594,0.000006853056,0.0008093538,0.00005991049,0.000302811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935794,0.0005587877,0.0003384219,0.002319544,0.0003948489,0.0006334887,0.00002443537,0.00005348853,0.002097532],"genre_scores_gemma":[0.9983029,0.0008865482,0.00009882258,0.0001323763,0.000247215,0.00007611037,0.00008615812,0.00001086999,0.0001590355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.439896,"threshold_uncertainty_score":0.9816415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01845448211066238,"score_gpt":0.3082377642233315,"score_spread":0.2897832821126691,"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."}}