{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001737886,0.0002964267,0.0003213857,0.001540526,0.03249313,0.006283733,0.001355184,0.001347569,0.003068481],"category_scores_gemma":[0.005567683,0.0002752508,0.0002391921,0.002315334,0.01144435,0.001966479,0.008165547,0.002839302,0.0001104464],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05493984,"about_ca_system_score_gemma":0.1081175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9801199,"about_ca_topic_score_gemma":0.9910417,"domain_scores_codex":[0.9973781,0.0004229595,0.00006552514,0.0001199245,0.0004985751,0.001514995],"domain_scores_gemma":[0.9967879,0.0006630226,0.00047409,0.00006996823,0.0006956497,0.001309396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003203,0.00004285196,0.04881065,0.0000687408,0.000008844183,0.001418843,0.9262905,0.0001031331,0.0003139289,0.008475123,0.002952807,0.01148254],"study_design_scores_gemma":[0.000002008749,0.000009711696,0.02321906,0.0001069529,0.000005051188,0.000158315,0.9667054,0.00004368966,0.00004800357,0.0003190658,0.00936886,0.00001399978],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730685,0.0005475408,0.00008703084,0.007603489,0.00004349391,0.00001895303,0.00005457888,0.000004331503,0.01857194],"genre_scores_gemma":[0.9961718,0.0005812485,0.00007990262,0.000765287,0.000008839687,0.000007359468,0.0000261385,0.000004710796,0.002354713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05493984,"threshold_uncertainty_score":0.3986183,"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."}}