{"id":"W4409070048","doi":"10.51731/cjht.2025.1107","title":"Lisocabtagene Maraleucel (Breyanzi)","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Health Technologies","topic":"Cutaneous Melanoma Detection and Management","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":[0.0003285847,0.00008858967,0.0003053914,0.001064889,0.0001595336,0.00002200162,0.0001606519,0.0001000386,0.00006188069],"category_scores_gemma":[0.0002996408,0.00007589992,0.000081904,0.0004145565,0.0001054354,0.00003343239,0.00001826797,0.0003282323,0.00001236053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004763326,"about_ca_system_score_gemma":0.00192378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465251,"about_ca_topic_score_gemma":0.002296906,"domain_scores_codex":[0.9990635,0.00002267356,0.0004203693,0.00009677093,0.00009535253,0.0003013628],"domain_scores_gemma":[0.9993783,0.00002016476,0.0001788511,0.0002220439,0.0001184213,0.00008226166],"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":[0.00003354036,0.00002292379,0.004854927,0.0002185729,0.0000978264,0.0006161886,0.00006064879,0.000006223079,0.0001155714,0.003722232,0.07368119,0.9165702],"study_design_scores_gemma":[0.0005186668,0.0003799917,0.01194813,0.0002913518,0.00002908178,0.0007898146,0.001767079,0.00001179621,0.0006764657,0.001716313,0.9818055,0.0000658291],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2781639,0.1466335,0.005716366,0.5322913,0.004252068,0.001209929,0.00001530532,0.0006145471,0.03110301],"genre_scores_gemma":[0.992496,0.0005961831,0.0007234958,0.002898376,0.00001113446,0.000003348175,8.532651e-7,0.000007278432,0.003263391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9165043,"threshold_uncertainty_score":0.3412702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735638045098604,"score_gpt":0.2815971523766693,"score_spread":0.2642407719256833,"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."}}