{"id":"W6904885962","doi":"10.14288/1.0376054","title":"Mobile supervised consumption services in Rural British Columbia: lessons learned","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"HIV, Drug Use, Sexual Risk","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Recreation; Service provider; Service (business); Public health; Consumption (sociology); Mobile device; Service delivery framework; Control (management); Mobile technology","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":[0.001869292,0.0004343399,0.0003484423,0.0006926724,0.006399014,0.00402763,0.002815881,0.001791404,0.007229851],"category_scores_gemma":[0.004519466,0.0003517495,0.0003208784,0.00148677,0.001932562,0.00159933,0.003232269,0.003276768,0.0005965633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02198773,"about_ca_system_score_gemma":0.1192103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9007259,"about_ca_topic_score_gemma":0.9650503,"domain_scores_codex":[0.9980943,0.0004981717,0.00005529246,0.0001095086,0.0003926621,0.0008501472],"domain_scores_gemma":[0.9929588,0.0007699495,0.0001661117,0.00007934408,0.001404345,0.004621556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001900701,0.00137277,0.05393937,0.004322471,0.0000623818,0.008432397,0.06205548,0.001041633,0.002510611,0.005549876,0.2446214,0.6159016],"study_design_scores_gemma":[0.0001432772,0.0006041816,0.172242,0.008949805,0.00006463748,0.001533077,0.3390777,0.00146286,0.0005110796,0.002689903,0.4725693,0.0001522082],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.474052,0.02700551,0.001786952,0.3799896,0.002465287,0.001146049,0.001013413,0.0003687073,0.1121725],"genre_scores_gemma":[0.8796958,0.04156505,0.006124229,0.03748623,0.0003357305,0.0007781295,0.0006432635,0.0001214905,0.03325015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0992741,"threshold_uncertainty_score":0.1997175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653991836556333,"score_gpt":0.3477087367090447,"score_spread":0.3011688183434814,"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."}}