{"id":"W2122563761","doi":"10.1002/pds.3579","title":"Population‐based patterns of prescription androgen use, 1976–2008","year":2014,"lang":"en","type":"article","venue":"Pharmacoepidemiology and Drug Safety","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Health Canada; National Institutes of Health; National Cancer Institute; New England Research Institutes","keywords":"Medicine; Medical prescription; Androgen; Population; Formulary; Testosterone (patch); Demography; Demographics; Pharmacoepidemiology; Pediatrics; Family medicine; Internal medicine; Environmental health; Pharmacology","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":[0.0004903589,0.0002791923,0.0003005963,0.002124421,0.001093397,0.0008636572,0.001050704,0.0003810922,0.001250752],"category_scores_gemma":[0.001668632,0.0002991511,0.0004746588,0.004345015,0.0005547376,0.0003407008,0.0005512491,0.0005321522,0.0003011212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.010646,"about_ca_system_score_gemma":0.009094555,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9548354,"about_ca_topic_score_gemma":0.9660624,"domain_scores_codex":[0.9991995,0.00005151763,0.000081699,0.0001645523,0.000309838,0.0001930249],"domain_scores_gemma":[0.9983236,0.00007865954,0.0004754725,0.00006062637,0.0008090535,0.0002526243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004417105,0.00001359404,0.997715,0.00001656238,0.00003861227,0.00002737433,0.0001949363,0.00008125252,0.00009805433,0.00001613733,0.0003045287,0.00144995],"study_design_scores_gemma":[0.000001915569,0.000008660103,0.9994711,0.000005989144,0.000006641141,0.00003253672,0.0001755708,0.00006347875,0.00002677792,0.000002355804,0.0002020903,0.000002827963],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891348,0.0004927418,0.00006260183,0.00009592051,0.000005175681,0.00003052262,0.009256601,0.0000125358,0.0009091143],"genre_scores_gemma":[0.993831,0.000376742,0.0001089266,0.00004444513,0.000004495747,0.00001608053,0.005121053,0.000003383673,0.0004938039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9548354,"threshold_uncertainty_score":0.09086108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03674317480420226,"score_gpt":0.3220627434644412,"score_spread":0.2853195686602389,"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."}}