{"id":"W4327621571","doi":"10.51731/cjht.2023.597","title":"Eptinezumab (Vyepti)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Migraine and Headache Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Migraine; Drug class; Medicine; Family medicine; Drug; Psychiatry; Political science; Health care; Law","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":[0.0005542641,0.000094784,0.0003960677,0.0009248709,0.000215768,0.00001019414,0.0001444957,0.00009540501,0.00004454936],"category_scores_gemma":[0.0008730315,0.00007330039,0.000103012,0.0006510281,0.0001649746,0.00004228758,0.00001851551,0.0003930667,0.00007502233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001954672,"about_ca_system_score_gemma":0.002270486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001830603,"about_ca_topic_score_gemma":0.003802069,"domain_scores_codex":[0.9988551,0.00001787502,0.000430638,0.00008921077,0.0001365014,0.0004706472],"domain_scores_gemma":[0.9993216,0.00004006849,0.000185371,0.0001850711,0.0001604164,0.0001074319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001460673,0.00001026822,0.01832139,0.0002255401,0.00008382765,0.000652347,0.0008995616,0.000002636669,0.0000519787,0.001490696,0.7600712,0.218176],"study_design_scores_gemma":[0.0005346001,0.0006664018,0.05691362,0.0002999389,0.00001888609,0.000562738,0.011072,0.000008184714,0.0001360259,0.002354617,0.9273443,0.00008867991],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.4098962,0.09047899,0.0001000869,0.4927551,0.0002777842,0.0004770969,0.00002079212,0.0006544967,0.005339477],"genre_scores_gemma":[0.9954807,0.001631228,0.0003375452,0.0008657151,0.00002965748,0.000004035713,0.000002569014,0.00001278576,0.00163578],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5855845,"threshold_uncertainty_score":0.4027744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06256858349756063,"score_gpt":0.3386118358547654,"score_spread":0.2760432523572048,"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."}}