{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001298539,0.0001128423,0.0004191432,0.001143161,0.0004861654,0.00002203148,0.000448096,0.00007867423,0.003057219],"category_scores_gemma":[0.0003217644,0.0001042813,0.0001284455,0.0006575149,0.0002057781,0.00005418211,0.00006848972,0.001229665,0.00001084442],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490913,"about_ca_system_score_gemma":0.005987073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003894157,"about_ca_topic_score_gemma":0.001231656,"domain_scores_codex":[0.9982055,0.0001129356,0.0005079359,0.0001411758,0.0004060827,0.000626325],"domain_scores_gemma":[0.9989812,0.00005196073,0.0002606166,0.0003606218,0.0001485301,0.0001971005],"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":[0.0001189168,0.00005050367,0.01374552,0.0001114912,0.00009337076,0.001488994,0.0003767608,0.00003509873,0.001947642,0.0005621384,0.05492865,0.9265409],"study_design_scores_gemma":[0.0008612847,0.001652071,0.007843613,0.00005184256,0.00001075278,0.002651906,0.004809611,0.00001455226,0.0008778138,0.001134876,0.9799902,0.0001014809],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.598991,0.1398565,0.0001148778,0.2546999,0.001124161,0.0008606506,0.00006982392,0.0002401833,0.004042976],"genre_scores_gemma":[0.9939781,0.000697534,0.0004597991,0.001696714,0.00002773586,0.00001684489,0.000004493259,0.00002764993,0.003091134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9264395,"threshold_uncertainty_score":0.999648,"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."}}