{"id":"W4408164497","doi":"10.51731/cjht.2025.1091","title":"Faricimab (Vabysmo)","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Immunodeficiency and Autoimmune Disorders","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000190458,0.0003959156,0.0005001096,0.0004377991,0.0003263539,0.0004859894,0.0004664828,0.0008802909,0.01416114],"category_scores_gemma":[0.0004155241,0.0001178848,0.000384467,0.0002592838,0.0001722901,0.0002777122,0.0002929179,0.001480127,0.007156108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008244939,"about_ca_system_score_gemma":0.0005029449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003771206,"about_ca_topic_score_gemma":0.006250958,"domain_scores_codex":[0.9998056,0.00002542502,0.00001475985,0.00003907394,0.00006080602,0.00005428999],"domain_scores_gemma":[0.9998744,0.00001578477,0.00002325896,0.000009757508,0.00002738675,0.00004939852],"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":[0.003072694,0.000828892,0.002796232,0.001338927,0.0002124078,0.002883786,0.00009253958,0.0006789353,0.0875429,0.002725923,0.08766349,0.8101632],"study_design_scores_gemma":[0.002918774,0.003968044,0.01644232,0.0005920631,0.0001388395,0.01614344,0.00007918396,0.0006320428,0.03210393,0.001051439,0.9258693,0.00006062589],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.192958,0.5185815,0.004967682,0.01480154,0.004536639,0.0008712556,0.006382269,0.002127639,0.2547736],"genre_scores_gemma":[0.8178484,0.06216234,0.004935816,0.009252422,0.0008219306,0.000244891,0.008352844,0.00008368351,0.09629761],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01416114,"threshold_uncertainty_score":0.04737371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008818780460101457,"score_gpt":0.2463814510735384,"score_spread":0.237562670613437,"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."}}