{"id":"W4301397008","doi":"10.51731/cjht.2022.461","title":"Lisocabtagene Maraleucel (Breyanzi)","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; Lymphoma; Follicular lymphoma; Medicine; Drug; Chimeric antigen receptor; Diffuse large B-cell lymphoma; Oncology; Internal medicine; Cancer research; Cancer; Immunotherapy; Pharmacology; 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":[0.0005045843,0.0004557197,0.0004808792,0.001121976,0.0004312309,0.000976918,0.0005747292,0.001014988,0.06617518],"category_scores_gemma":[0.0006866801,0.0001331798,0.0004347899,0.0006340704,0.00050245,0.0004503946,0.0005165455,0.001248127,0.01889549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803881,"about_ca_system_score_gemma":0.002257994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01663986,"about_ca_topic_score_gemma":0.04725515,"domain_scores_codex":[0.9997311,0.00004880731,0.00001332878,0.00005009371,0.000117445,0.00003923121],"domain_scores_gemma":[0.9997272,0.00005174115,0.00005084589,0.00001245996,0.00008857436,0.00006919236],"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":[0.00149448,0.0002150796,0.0006552803,0.002963968,0.00006588926,0.0005785087,0.00009560882,0.0002170578,0.01677796,0.005307168,0.1306666,0.8409624],"study_design_scores_gemma":[0.0003484227,0.0006880632,0.001602395,0.0004921191,0.00004840066,0.001015506,0.00003631111,0.0001094617,0.004917589,0.0002728894,0.9904558,0.00001299035],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02214609,0.5468979,0.003987518,0.01140623,0.002399988,0.0006176988,0.004692677,0.001998923,0.4058529],"genre_scores_gemma":[0.1813652,0.2102684,0.006808868,0.0092667,0.0009393854,0.000432061,0.006384416,0.0002806641,0.5842543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06617518,"threshold_uncertainty_score":0.221378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05164566627031014,"score_gpt":0.3287784616090058,"score_spread":0.2771327953386957,"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."}}