{"id":"W3210112028","doi":"10.7939/r3-0fet-me36","title":"Validation and Pattern Discovery in the Canadian Community Health Survey - Mental Health (CCHS-MH) Support Utilization","year":2021,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Cardiovascular Health and Risk Factors","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mental health; Community health; Data science; Medicine; Public health; Computer science; Nursing; Psychiatry","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":[0.07239845,0.0008570215,0.0009785574,0.004250254,0.002611158,0.003204878,0.002481973,0.0009602243,0.0007736565],"category_scores_gemma":[0.16335,0.0005556915,0.002071719,0.005722989,0.003505209,0.001136455,0.003167808,0.001311154,0.0002283492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005707238,"about_ca_system_score_gemma":0.01563033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2477802,"about_ca_topic_score_gemma":0.2178876,"domain_scores_codex":[0.9477032,0.02444478,0.004428856,0.005321207,0.01585603,0.002245897],"domain_scores_gemma":[0.8820399,0.06335442,0.007085364,0.014365,0.03209739,0.001057891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002476391,0.0002837653,0.9275865,0.0003412805,0.0005147802,0.0001466479,0.01242264,0.00168142,0.0009959248,0.004518325,0.003010141,0.04825085],"study_design_scores_gemma":[0.0001028731,0.0002885303,0.9465052,0.0003936979,0.000219788,0.0002096092,0.01042037,0.02584001,0.001833353,0.003951368,0.01015425,0.00008095624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506955,0.0004631545,0.03573304,0.0007345868,0.0001603507,0.003022904,0.002260422,0.0001373908,0.006792609],"genre_scores_gemma":[0.9734902,0.0001413735,0.02101607,0.0001686127,0.0000187587,0.001384045,0.003258778,0.0000552193,0.0004670315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7522197,"threshold_uncertainty_score":0.492676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03331624793092359,"score_gpt":0.2549148632283496,"score_spread":0.221598615297426,"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."}}