{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005429105,0.0002889153,0.0004636273,0.001092415,0.0002965534,0.0008297014,0.0004370977,0.0006237912,0.02140948],"category_scores_gemma":[0.0008013165,0.0001096408,0.00039118,0.0007076339,0.0003368754,0.0003415454,0.0003464185,0.001096123,0.004551285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604415,"about_ca_system_score_gemma":0.001868333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01727013,"about_ca_topic_score_gemma":0.0583604,"domain_scores_codex":[0.9997066,0.00007017625,0.00001547067,0.00004100111,0.000131084,0.00003562565],"domain_scores_gemma":[0.9997153,0.00006455101,0.00006388115,0.00001110242,0.00008722971,0.00005789914],"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":[0.00212755,0.0002427935,0.000785989,0.005216055,0.0001129954,0.0004225285,0.0001055671,0.000285165,0.01383299,0.004488562,0.08239935,0.8899806],"study_design_scores_gemma":[0.0006429733,0.001046252,0.002454118,0.001239876,0.0001122998,0.001108405,0.00004692732,0.0001676399,0.00484279,0.0003044209,0.9880179,0.0000165348],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03016985,0.7652892,0.003021951,0.006260838,0.0009866947,0.0005194505,0.00406492,0.001073488,0.1886136],"genre_scores_gemma":[0.3583344,0.4098521,0.006899764,0.006396868,0.0006613929,0.0004713638,0.006910651,0.0002302318,0.2102431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9827299,"threshold_uncertainty_score":0.07162184,"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."}}