{"id":"W4316037650","doi":"10.51731/cjht.2023.539","title":"Faricimab (Vabysmo)","year":2023,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Diabetic macular edema; Medicine; Family medicine; Political science; Diabetes mellitus; Diabetic retinopathy; 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":[0.0001929542,0.000079633,0.0002669023,0.0006367092,0.0001345778,0.00001398768,0.0001181173,0.00006935791,0.0000270019],"category_scores_gemma":[0.0003012496,0.00005931671,0.00009102057,0.0005066328,0.00009163573,0.00004150216,0.00001028785,0.0001950459,0.00007372202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002469613,"about_ca_system_score_gemma":0.001844423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001771183,"about_ca_topic_score_gemma":0.00005132507,"domain_scores_codex":[0.9991105,0.00001525267,0.0003013395,0.00008015985,0.0001272147,0.0003655902],"domain_scores_gemma":[0.9995257,0.00002134586,0.0001616579,0.0001640865,0.00009346671,0.00003372763],"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":[0.00001521798,0.00001440245,0.008815779,0.00007250792,0.00004814793,0.001450826,0.00005300346,0.000002529664,0.000006366518,0.0003057005,0.002903431,0.9863121],"study_design_scores_gemma":[0.000785194,0.0006641078,0.3380021,0.000298192,0.00003925987,0.0006764058,0.001946217,0.00001450206,0.00007730995,0.003364579,0.6540547,0.00007739894],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5230442,0.3793705,0.00004032481,0.09492355,0.0004641181,0.0003299725,0.00003252111,0.0003355388,0.001459321],"genre_scores_gemma":[0.9984122,0.0008890466,0.00004863238,0.0004085861,0.000001377217,0.00000291661,0.000005171077,0.00001020924,0.0002218496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9862347,"threshold_uncertainty_score":0.3271926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056564087290863,"score_gpt":0.3272458019378994,"score_spread":0.2866801610649908,"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."}}