{"id":"W4283122442","doi":"10.51731/cjht.2022.363","title":"Prasterone (Intrarosa)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Phytochemistry and Bioactive Compounds","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Drug class; Family medicine; Drug; Gynecology; Political science; Pharmacology; Health care","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007151787,0.00007266598,0.0001877847,0.000169163,0.0005592565,0.00003472982,0.0005668039,0.00003403696,0.0003140011],"category_scores_gemma":[0.0001357251,0.00006609466,0.00002818722,0.0001976378,0.0001766485,0.0001020401,0.0000580411,0.0003504724,0.000006215784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004552802,"about_ca_system_score_gemma":0.001881119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005399034,"about_ca_topic_score_gemma":0.000227104,"domain_scores_codex":[0.9990197,0.00006836739,0.0003116722,0.000100435,0.0001553572,0.0003444976],"domain_scores_gemma":[0.9993477,0.00002539638,0.000340455,0.0001631699,0.0000593823,0.0000638407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007773293,0.0001048213,0.00295022,0.0001463116,0.00003329486,0.0005770111,0.0008793048,0.000182286,0.6947205,0.002211914,0.05290847,0.2452081],"study_design_scores_gemma":[0.0004407598,0.00132494,0.002034971,0.00006156216,0.000006963697,0.00166977,0.008202977,0.000006603621,0.2549681,0.01049263,0.7205306,0.0002600969],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.957182,0.01638317,0.0002019522,0.02466704,0.0008820579,0.00009973824,0.00007171105,0.00008172109,0.0004306248],"genre_scores_gemma":[0.999186,0.00001854959,0.0003857556,0.0003282499,0.00001174514,0.000006515351,0.000001193733,0.000005026475,0.00005694134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6676221,"threshold_uncertainty_score":0.4301405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535667975554196,"score_gpt":0.2519927257796221,"score_spread":0.2266360460240801,"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."}}