{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.009869097,0.0001597193,0.001623612,0.00006880487,0.00004828552,0.000002242892,0.0002909746,0.0001312885,0.00005607042],"category_scores_gemma":[0.05655858,0.0001015994,0.0002092403,0.00008340814,0.0004666398,0.0001038445,0.0003725361,0.0001281554,0.00002553638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000963143,"about_ca_system_score_gemma":0.0002683751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003806782,"about_ca_topic_score_gemma":0.00001973798,"domain_scores_codex":[0.9955428,0.0009209667,0.002316399,0.0006997165,0.0000959522,0.0004241798],"domain_scores_gemma":[0.980467,0.01701528,0.00102699,0.001153422,0.0001597127,0.0001775942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00135389,0.0004893385,0.324274,0.001485611,0.00131355,0.000006408118,0.00005354403,0.000007033529,0.00005188966,0.008628196,0.4082196,0.2541169],"study_design_scores_gemma":[0.02309838,0.006913847,0.5926827,0.004049064,0.001253801,0.00001797616,0.0005917589,0.00214326,0.00003393933,0.07460663,0.2939106,0.0006981036],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3417009,0.01705243,0.1649612,0.4659232,0.003900473,0.004408293,0.0006840881,0.0003502128,0.001019161],"genre_scores_gemma":[0.8863375,0.01965578,0.04504767,0.04252269,0.002627268,0.0002003726,0.001031332,0.00008364857,0.002493749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5446365,"threshold_uncertainty_score":0.9513884,"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."}}