{"id":"W4409040539","doi":"10.51731/cjht.2025.1108","title":"Ciltacabtagene Autoleucel (Carvykti)","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"CAR-T cell therapy research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009041038,0.000125109,0.0004866315,0.001550479,0.0002013063,0.00003196605,0.0003726323,0.0001993503,0.0003677116],"category_scores_gemma":[0.0007594238,0.0001062451,0.0001260937,0.0007909887,0.0002694159,0.00005763929,0.00003015438,0.0008262875,0.00001343205],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047831,"about_ca_system_score_gemma":0.009786861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003416639,"about_ca_topic_score_gemma":0.00230966,"domain_scores_codex":[0.9984155,0.00005355998,0.0005604889,0.0001442358,0.0002285897,0.0005975756],"domain_scores_gemma":[0.9988968,0.00006685955,0.000186167,0.0003930265,0.0002978932,0.0001592425],"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":[0.00004492558,0.00001903496,0.006936716,0.0001763104,0.0001015946,0.0003526345,0.0000972936,0.000004271456,0.002140592,0.001452736,0.02599518,0.9626787],"study_design_scores_gemma":[0.001068195,0.0005681099,0.0142834,0.0005232309,0.00002224401,0.0004515571,0.001707291,0.00002370454,0.007509748,0.003245563,0.9704967,0.0001002673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.311928,0.238054,0.001199455,0.4228802,0.001577372,0.001136128,0.00003045248,0.0004287785,0.02276563],"genre_scores_gemma":[0.9901348,0.001330465,0.0008255905,0.001823203,0.00001998093,0.000005921104,0.000001878399,0.00001656289,0.005841572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9625784,"threshold_uncertainty_score":0.9958267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04058088739669979,"score_gpt":0.3538447205249171,"score_spread":0.3132638331282173,"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."}}