{"id":"W2443460635","doi":"10.22605/rrh3224","title":"Quality assessment of primary care for common mental disorders in isolated communities: Taking advantage of health records","year":2015,"lang":"en","type":"article","venue":"Rural and Remote Health","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Centre Hospitalier de l’Université de Montréal; Université du Québec à Rimouski","funders":"Canadian Institutes of Health Research","keywords":"Data collection; Mental health; Context (archaeology); Quality (philosophy); Relevance (law); Health care; Medicine; Geography; Psychiatry; Political science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003292341,0.0002055625,0.001299469,0.0001824595,0.000597986,0.000003258591,0.000180803,0.0001592322,0.0000138095],"category_scores_gemma":[0.00003273511,0.0001746164,0.00008966832,0.0002089886,0.0001051394,0.0001322017,0.000178393,0.0006064013,5.890749e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001712514,"about_ca_system_score_gemma":0.004753388,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09889831,"about_ca_topic_score_gemma":0.07685787,"domain_scores_codex":[0.99528,0.001700954,0.001861179,0.0001774131,0.0002938691,0.0006866158],"domain_scores_gemma":[0.9970457,0.0006388272,0.001529803,0.0003510185,0.0001575415,0.0002771436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000484684,0.0001561694,0.435096,0.01879842,0.00002442789,2.306331e-7,0.04809767,0.000005214628,0.00001367336,0.0006151315,0.001017101,0.4956913],"study_design_scores_gemma":[0.007119142,0.002693677,0.7291679,0.002820511,0.00001048953,0.000002292276,0.2300033,0.0008910682,0.000001555218,0.00148335,0.02545859,0.0003481665],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9319705,0.01338227,0.002149861,0.02981069,0.001675559,0.006323784,0.0008763113,0.0001086709,0.01370231],"genre_scores_gemma":[0.9798162,0.007837645,0.003618672,0.007720541,0.00004739262,0.00002107088,0.0007847201,0.00003041789,0.0001233685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4953431,"threshold_uncertainty_score":0.9399871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142152478771418,"score_gpt":0.4890825542675003,"score_spread":0.3748673063903585,"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."}}