{"id":"W4396827093","doi":"10.51731/cjht.2024.893","title":"Odevixibat (Bylvay)","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Pregnancy and Medication Impact","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Family 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005856228,0.0003058186,0.000513506,0.001228822,0.0004095093,0.001222758,0.0004713494,0.0008200063,0.04893202],"category_scores_gemma":[0.001252796,0.0001277204,0.0006515787,0.0008585238,0.0002756975,0.0004682071,0.0005361279,0.0009929371,0.007224612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849488,"about_ca_system_score_gemma":0.003580471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03533722,"about_ca_topic_score_gemma":0.1073162,"domain_scores_codex":[0.9995467,0.00009166601,0.00003663377,0.00005252132,0.0002187727,0.00005367205],"domain_scores_gemma":[0.999671,0.00006864591,0.00006874254,0.00001212988,0.0001144491,0.00006512604],"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":[0.001029177,0.00009650361,0.00071863,0.006050516,0.0001069058,0.0002861301,0.0001061797,0.0001010094,0.003187044,0.004619179,0.1104433,0.8732556],"study_design_scores_gemma":[0.0004806868,0.000375458,0.002783866,0.001794844,0.0001093014,0.0005586006,0.00006225389,0.00004656451,0.0009648952,0.0002936489,0.9925175,0.00001232297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01145831,0.6981199,0.001102916,0.006142945,0.00161477,0.0005755178,0.008557708,0.0004363715,0.2719915],"genre_scores_gemma":[0.1448574,0.5752494,0.004549847,0.007363181,0.0007112305,0.0005050623,0.01080609,0.0001549897,0.2558028],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04893202,"threshold_uncertainty_score":0.1636939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03798492952966011,"score_gpt":0.3380933450141672,"score_spread":0.3001084154845071,"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."}}