{"id":"W2128137211","doi":"10.1371/journal.pone.0098003","title":"The Impact of Drug Reimbursement Policy on Rates of Testosterone Replacement Therapy among Older Men","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Hormonal and reproductive studies","field":"Medicine","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Ontario Drug Policy Research Network; Sunnybrook Health Science Centre; Institute for Clinical Evaluative Sciences; St. Michael's Hospital; University of Toronto","funders":"Ontario Ministry of Health and Long-Term Care; Institute for Clinical Evaluative Sciences; Sanofi; Ontario HIV Treatment Network; Pfizer; Eli Lilly and Company; Bristol-Myers Squibb","keywords":"Testosterone replacement; Reimbursement; Testosterone (patch); Medicine; Drug; Pharmacotherapy; Internal medicine; Demography; Intensive care medicine; Gerontology; Pharmacology; Health care; Political science; Hormone; Androgen","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":[0.003049719,0.0001070818,0.0002168976,0.0005512202,0.0003670064,0.0009913958,0.0004995441,0.0004913131,0.001268136],"category_scores_gemma":[0.02169367,0.0001378886,0.0005408693,0.001078196,0.0004170104,0.0004337235,0.0003922517,0.0007249235,0.0001279247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004094868,"about_ca_system_score_gemma":0.004477058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3136823,"about_ca_topic_score_gemma":0.2494736,"domain_scores_codex":[0.9976534,0.0007559035,0.0002635474,0.0002667024,0.0006865201,0.000373925],"domain_scores_gemma":[0.9827424,0.003640199,0.01074396,0.0005808249,0.001440926,0.0008515366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000997935,0.00003005582,0.996121,0.00001333207,0.0000379843,0.00001895707,0.0001166845,0.0002222357,0.00004906093,0.00008168392,0.0002117302,0.002997436],"study_design_scores_gemma":[0.000002515719,0.00002471096,0.9993281,0.00000788234,0.00001007233,0.00001890089,0.00005817033,0.0003134009,0.00002003954,0.00001201565,0.0002023067,0.000001870232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954967,0.000840676,0.0001652764,0.0009365958,0.00001253777,0.0000167755,0.001144711,0.000007000703,0.001379522],"genre_scores_gemma":[0.9990301,0.0001879433,0.00006382496,0.00009643956,0.00001401242,0.000005573092,0.0004431271,0.000001359992,0.0001575458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3136823,"threshold_uncertainty_score":0.6237129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04101375633096044,"score_gpt":0.3111269460253889,"score_spread":0.2701131896944285,"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."}}