{"id":"W6991260427","doi":"","title":"Feature Story: Data dive: Learning from mental health and substance abuse treatment experience and outcomes","year":2018,"lang":"en","type":"other","venue":"oURspace (University of Regina)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Substance abuse; Feature (linguistics); Substance use; Substance abuse treatment; Mental illness; Combing; Social work","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":[0.008804727,0.000515068,0.0004916553,0.001250965,0.006585397,0.005889477,0.002325989,0.004498837,0.07932878],"category_scores_gemma":[0.06279773,0.0004676919,0.0007511642,0.001365207,0.002236447,0.008527277,0.007225012,0.01158861,0.0203655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00312943,"about_ca_system_score_gemma":0.006048577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02784155,"about_ca_topic_score_gemma":0.08801936,"domain_scores_codex":[0.995555,0.001851537,0.000198782,0.0003291828,0.001468399,0.0005971438],"domain_scores_gemma":[0.9680065,0.01209571,0.001192588,0.001919473,0.008104866,0.008680753],"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":[0.00001094601,0.00001656117,0.0008173916,0.00001886931,0.000002006951,0.00007593368,0.002352274,0.000005605417,0.000007248438,0.0005694923,0.9869358,0.009187723],"study_design_scores_gemma":[0.00002521281,0.00003625555,0.004157245,0.0003648277,0.000008721853,0.000411448,0.0219948,0.0001003582,0.0001021174,0.003010574,0.9697533,0.00003514437],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008755268,0.0009552845,0.001276449,0.8971121,0.01800855,0.000182201,0.009969973,0.0007253075,0.06301497],"genre_scores_gemma":[0.1114267,0.004433577,0.00465627,0.470703,0.0176648,0.001424489,0.01724046,0.003248436,0.3692023],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.07932878,"threshold_uncertainty_score":0.2653812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759895750520616,"score_gpt":0.2592787663413192,"score_spread":0.2316798088361131,"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."}}