{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005792969,0.0002013295,0.0002999505,0.0005333394,0.000152513,0.0005574182,0.0002522786,0.0004465452,0.01446809],"category_scores_gemma":[0.0009550274,0.00006266429,0.0004443253,0.0003341269,0.0002014723,0.0004167278,0.000256532,0.0004632637,0.002383525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000714591,"about_ca_system_score_gemma":0.0008721448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004233843,"about_ca_topic_score_gemma":0.01193131,"domain_scores_codex":[0.9997577,0.00007138474,0.00003145439,0.00003504262,0.00007968983,0.00002462445],"domain_scores_gemma":[0.999737,0.00008304614,0.00007574319,0.000009099691,0.00006613726,0.00002893164],"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":[0.001260191,0.00006230666,0.0008812437,0.005566206,0.0001551152,0.0001968663,0.00003625153,0.00008833883,0.004401317,0.002175721,0.06777956,0.917397],"study_design_scores_gemma":[0.001012563,0.001929659,0.01152335,0.00534399,0.0004870449,0.002200617,0.00008101245,0.0001815549,0.006270695,0.0007001408,0.9702434,0.00002596529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.01943161,0.8807127,0.001844348,0.007825171,0.001579207,0.0002683186,0.002235411,0.0002920164,0.08581109],"genre_scores_gemma":[0.2335921,0.6592108,0.006236611,0.009934732,0.001016909,0.0003226269,0.00369856,0.0000514933,0.08593613],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01446809,"threshold_uncertainty_score":0.04840064,"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."}}