{"id":"W7025654555","doi":"","title":"Who benefits from the \"Alberta Model\"?","year":2020,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Harm; Crew; Ideology; Agency (philosophy); Harm reduction","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":[0.002555036,0.0003782265,0.00033604,0.0007610759,0.009256925,0.01031613,0.001685159,0.006019703,0.08840996],"category_scores_gemma":[0.005756307,0.0003211869,0.0003425332,0.001056957,0.004814717,0.006666986,0.003968768,0.005853342,0.02380338],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01294197,"about_ca_system_score_gemma":0.0410363,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6817999,"about_ca_topic_score_gemma":0.8157974,"domain_scores_codex":[0.9967549,0.0004387091,0.00003220791,0.000217251,0.001304464,0.001252462],"domain_scores_gemma":[0.9954267,0.0004940676,0.0001135188,0.0002634592,0.001136166,0.002566009],"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":[0.000007596766,0.00001201239,0.0003306834,0.00001897333,0.000001566581,0.00005152501,0.0005353675,0.00001468664,0.00003528449,0.01918313,0.9655066,0.01430269],"study_design_scores_gemma":[0.00000522565,0.000004548549,0.0006548691,0.00009107678,0.000003483491,0.00005121599,0.002264176,0.00002508522,0.00004878468,0.003336014,0.9935006,0.00001488334],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.002262908,0.004428688,0.0003492991,0.486697,0.005994054,0.00002208023,0.0003344063,0.0003230837,0.4995885],"genre_scores_gemma":[0.05425487,0.004097689,0.0006908654,0.2139459,0.001354964,0.00004356205,0.0003425991,0.0003889594,0.7248806],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3182001,"threshold_uncertainty_score":0.640148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009249505333521355,"score_gpt":0.1823023576700318,"score_spread":0.1730528523365105,"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."}}