{"id":"W4210408999","doi":"10.51731/cjht.2022.250","title":"Idecabtagene Vicleucel (Abecma)","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reimbursement; Medicine; Drug; Pharmacology; Intensive care medicine; Health care; Political science","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":[0.0009470729,0.0003109892,0.000351387,0.000918253,0.0003062396,0.001027458,0.0005101234,0.0007020891,0.01921894],"category_scores_gemma":[0.001232985,0.0001034224,0.0004880562,0.0005569091,0.0003743441,0.0004054423,0.0002444562,0.0007477999,0.004141448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656811,"about_ca_system_score_gemma":0.004702015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02968543,"about_ca_topic_score_gemma":0.1125568,"domain_scores_codex":[0.9996073,0.00007311203,0.00002895052,0.00004262058,0.0001928264,0.00005530704],"domain_scores_gemma":[0.9993526,0.0001357591,0.0001354107,0.00002028891,0.0002317359,0.0001241515],"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":[0.000937162,0.00009923067,0.0008691248,0.002647056,0.000117886,0.0002167997,0.00002940544,0.0001757153,0.005935829,0.005387638,0.1701844,0.8133999],"study_design_scores_gemma":[0.0004320502,0.0006191546,0.002902391,0.0008867826,0.0001010141,0.0005996101,0.000023661,0.000121413,0.004237904,0.0003731098,0.9896876,0.00001521915],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01264371,0.676416,0.003015043,0.0101984,0.002904116,0.0005730009,0.005502223,0.0005213926,0.2882261],"genre_scores_gemma":[0.1929424,0.4996087,0.01528859,0.0206231,0.001790371,0.0006595145,0.01143513,0.0001778336,0.2574744],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02968543,"threshold_uncertainty_score":0.0642938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0544646208570626,"score_gpt":0.3394416612228756,"score_spread":0.284977040365813,"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."}}