{"id":"W4408266096","doi":"10.1016/j.lungcan.2025.108491","title":"Establishing survival benchmarks in the era of peri-operative immunotherapy","year":2025,"lang":"en","type":"letter","venue":"Lung Cancer","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Medicine; Immunotherapy; Peri; Internal medicine; Oncology; Intensive care medicine; Cancer","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008635185,0.0005605999,0.001278129,0.0007103734,0.004396515,0.005437142,0.001836048,0.05126485,0.005713384],"category_scores_gemma":[0.04207698,0.0005247751,0.001018311,0.0006671578,0.004159498,0.00490219,0.003306161,0.04522377,0.004321784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005996355,"about_ca_system_score_gemma":0.01236797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006118679,"about_ca_topic_score_gemma":0.01409318,"domain_scores_codex":[0.9927595,0.002542847,0.0008522276,0.0005607943,0.001976547,0.001308148],"domain_scores_gemma":[0.9718922,0.0156768,0.001417201,0.0005885237,0.00404652,0.006378826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008219585,0.0000552012,0.001448042,0.00005682349,0.00001266709,0.001282828,0.0001678156,0.0001333703,0.0003453993,0.007201947,0.9707537,0.01846007],"study_design_scores_gemma":[0.0001338557,0.0001559087,0.00338598,0.0005081348,0.00003159162,0.001721955,0.001156924,0.0008590061,0.0004539652,0.03435438,0.9571331,0.0001051207],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002948187,0.000590203,0.00009853099,0.9912176,0.006110646,0.000005684789,0.00002261215,0.00001197198,0.001647991],"genre_scores_gemma":[0.005209914,0.000698259,0.0003598322,0.9632123,0.02727738,0.00002862037,0.00002879392,0.00001743781,0.003167523],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05126485,"threshold_uncertainty_score":0.04566771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227964371366139,"score_gpt":0.3195714229083646,"score_spread":0.3072917791947032,"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."}}