{"id":"W2336126368","doi":"10.2147/clep.s104448","title":"Helping everyone do better: a call for validation studies of routinely recorded health data","year":2016,"lang":"en","type":"article","venue":"Clinical Epidemiology","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Ottawa","funders":"Medical Research Council; National Institute for Health and Care Research","keywords":"Medicine; Epidemiology; Public health; Biostatistics; Family medicine; Alternative medicine; Health care; Population; Pharmacoepidemiology; Pediatrics; Gerontology; Environmental health; Nursing; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.8423105,0.003574128,0.01021962,0.01243379,0.007195488,0.02373623,0.02252897,0.02150422,0.01054775],"category_scores_gemma":[0.8959295,0.004009891,0.01256566,0.01491696,0.02826292,0.04490542,0.02116589,0.03563619,0.003385788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01149109,"about_ca_system_score_gemma":0.06610307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01803422,"about_ca_topic_score_gemma":0.0176855,"domain_scores_codex":[0.200608,0.6122283,0.07688906,0.01641124,0.08784537,0.006017972],"domain_scores_gemma":[0.01427781,0.7400871,0.01604781,0.1127973,0.111875,0.004915039],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003207285,0.002112363,0.1201639,0.02963361,0.005621965,0.0005754317,0.01621603,0.001791855,0.002243016,0.08295383,0.2664887,0.468992],"study_design_scores_gemma":[0.002256892,0.003005792,0.1078573,0.1777702,0.002495319,0.001344872,0.01166678,0.005202456,0.003247409,0.1431275,0.5409338,0.001091678],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01621052,0.1020876,0.09983346,0.7161301,0.04175173,0.005962092,0.005125428,0.000917101,0.01198204],"genre_scores_gemma":[0.1082141,0.03021345,0.4295053,0.3814945,0.01810783,0.01838224,0.009983064,0.00182612,0.002273588],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1576895,"threshold_uncertainty_score":0.1944593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6884983806733437,"score_gpt":0.6023180731285221,"score_spread":0.08618030754482153,"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."}}