{"id":"W1571168547","doi":"10.1002/pds.3808","title":"Diagnostic accuracy of algorithms to identify hepatitis C status, AIDS status, alcohol consumption and illicit drug use among patients living with HIV in an administrative healthcare database","year":2015,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Hepatitis C virus research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Database; Receiver operating characteristic; Algorithm; Drug; Substance abuse; Hepatitis C; Alcohol abuse; Positive predicative value; Internal medicine; Hepatitis B; Diagnosis code; Gold standard (test); Psychiatry; Environmental health; Population; Predictive value","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009011806,0.0006416939,0.0006762909,0.003711308,0.0004503218,0.002067203,0.001216314,0.0007764716,0.0005906356],"category_scores_gemma":[0.03657334,0.0002704124,0.0008120659,0.001462151,0.0003135662,0.0007717825,0.0008619887,0.0005658771,0.0001851963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002699656,"about_ca_system_score_gemma":0.002852767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05642861,"about_ca_topic_score_gemma":0.04741005,"domain_scores_codex":[0.9950141,0.002344307,0.0006702181,0.0006461941,0.001027131,0.0002980637],"domain_scores_gemma":[0.9762862,0.01482941,0.002265116,0.000840697,0.00516968,0.0006088906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000555575,0.0001856469,0.9648188,0.0000795701,0.0004070387,0.00002301334,0.00008497053,0.004790269,0.0002252523,0.0001314072,0.001031393,0.02766711],"study_design_scores_gemma":[0.00031433,0.0004974379,0.7294672,0.0001949872,0.0006364883,0.0003726386,0.0003869889,0.2640045,0.001842668,0.0005021518,0.001732028,0.00004858974],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869846,0.001524009,0.005986107,0.0004282637,0.0000454816,0.0003014006,0.00259424,0.0002081526,0.001927719],"genre_scores_gemma":[0.9852475,0.0003074451,0.01075843,0.000119494,0.00002450866,0.00009471634,0.003290318,0.000009489287,0.0001481089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05642861,"threshold_uncertainty_score":0.1122003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1248764616748306,"score_gpt":0.4474749785998182,"score_spread":0.3225985169249876,"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."}}