{"id":"W3126893558","doi":"","title":"Drugs, Alcohol, and Crime: Welfare in Vancouver","year":2020,"lang":"en","type":"article","venue":"SFU Undergraduate Research Symposium Journal","topic":"Homelessness and Social Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Welfare; Poverty; Government (linguistics); Welfare reform; Welfare system; Demographic economics; Business; Public economics; Criminology; Economics; Economic growth; Psychology; Market economy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004377515,0.0001428949,0.0002097403,0.0009957378,0.006983975,0.002193419,0.0008392324,0.0006903043,0.005406067],"category_scores_gemma":[0.001352102,0.0002090558,0.00014333,0.002707683,0.001178026,0.0004275468,0.002403548,0.00101486,0.000407881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01683055,"about_ca_system_score_gemma":0.03402101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.967618,"about_ca_topic_score_gemma":0.9939969,"domain_scores_codex":[0.9991645,0.0001431033,0.00002387429,0.00003071173,0.0001667795,0.0004711751],"domain_scores_gemma":[0.9985554,0.00008647397,0.00008724317,0.00001834337,0.0003508133,0.0009017754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001893592,0.0005914477,0.7097072,0.0003677523,0.00004457336,0.001698492,0.03252858,0.0002834259,0.0009688397,0.003953605,0.044424,0.2052427],"study_design_scores_gemma":[0.00002553999,0.0001067292,0.8520259,0.0002667899,0.00001670732,0.0002650045,0.1038127,0.0001494278,0.0001662598,0.0004665251,0.04267592,0.0000225433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9537902,0.003747512,0.00004354289,0.01616344,0.0001111203,0.00006534101,0.0005384193,0.000009429707,0.02553099],"genre_scores_gemma":[0.9711764,0.004920674,0.0001257464,0.002236837,0.00004261042,0.00003255869,0.0003148448,0.000007669733,0.02114267],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03238195,"threshold_uncertainty_score":0.1221148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1105229042322107,"score_gpt":0.4602830676444452,"score_spread":0.3497601634122345,"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."}}