{"id":"W7084081452","doi":"10.64628/aam.xhp3mgkwa","title":"Ontario’s cuts to legal aid for refugees: Racist, xenophobic and possibly unconstitutional","year":2019,"lang":"en","type":"article","venue":"","topic":"Microbial Metabolites in Food Biotechnology","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; Queen's University","funders":"","keywords":"Government (linguistics); Legislation; Immigration; Work (physics)","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":[0.004295354,0.0003300523,0.0003903018,0.0008497345,0.0222796,0.005656289,0.002176045,0.01714169,0.01766648],"category_scores_gemma":[0.01433791,0.0007119003,0.0006860269,0.0008670068,0.006925836,0.001631333,0.003601082,0.01050314,0.001684647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04748053,"about_ca_system_score_gemma":0.186387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9577333,"about_ca_topic_score_gemma":0.9914237,"domain_scores_codex":[0.9916975,0.0007023046,0.0002389379,0.0003558378,0.002831911,0.004173454],"domain_scores_gemma":[0.9882838,0.002029446,0.0004840041,0.00033388,0.003780451,0.005088403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001749974,0.0001136021,0.01447066,0.0001518935,0.00006334222,0.002085727,0.008386186,0.0002173451,0.001929835,0.09183331,0.846683,0.03389021],"study_design_scores_gemma":[0.00007511629,0.00004841286,0.02023893,0.0003136969,0.0000525647,0.0003712569,0.007833211,0.0001710326,0.0004925446,0.004248489,0.9660572,0.00009746465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.04756813,0.00206872,0.0005201623,0.7028413,0.004213423,0.0001254824,0.0005236061,0.00007852403,0.2420608],"genre_scores_gemma":[0.247299,0.001931013,0.001620739,0.4142632,0.0009831003,0.0001367006,0.000184572,0.0001083956,0.3334732],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04748053,"threshold_uncertainty_score":0.344497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007453305785218298,"score_gpt":0.2591384864628923,"score_spread":0.251685180677674,"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."}}