{"id":"W4205459220","doi":"10.51731/cjht.2022.243","title":"Romosozumab (Evenity)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Medical and Biological Sciences","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Osteoporosis; Family medicine; Internal medicine; Political science; 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":[0.0009185604,0.00005684801,0.0002500401,0.000272586,0.0003988892,0.000007982078,0.000304789,0.00004954071,0.000592134],"category_scores_gemma":[0.0007392432,0.0000349906,0.00006135632,0.0004817543,0.0002578426,0.00002729212,0.00003810145,0.0005778692,0.000003356845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002831349,"about_ca_system_score_gemma":0.002632717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491947,"about_ca_topic_score_gemma":0.0005042605,"domain_scores_codex":[0.9989501,0.00006123946,0.0003359903,0.00008686711,0.0002328007,0.0003329812],"domain_scores_gemma":[0.9994575,0.00003622165,0.0001915451,0.0001012757,0.00004870514,0.000164714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001942626,0.00004090149,0.01952613,0.00002973559,0.00001403265,0.0005329219,0.00006949481,0.000003555217,0.00008022718,0.002304063,0.01331908,0.9640604],"study_design_scores_gemma":[0.0003914514,0.002617799,0.02155523,0.00004615806,0.000007050711,0.001665567,0.003350718,0.000007291521,0.00009947602,0.01354681,0.9566363,0.00007623005],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6546251,0.03784315,0.00009507813,0.3045465,0.0007888585,0.0002330239,0.00002174896,0.0001045901,0.001741891],"genre_scores_gemma":[0.9971414,0.00008324896,0.0003298719,0.002283916,0.00001163893,0.000003645384,0.000001264949,0.000002242192,0.0001428358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9639842,"threshold_uncertainty_score":0.6483452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04943136175459083,"score_gpt":0.290299297165737,"score_spread":0.2408679354111462,"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."}}