{"id":"W7161708281","doi":"10.2196/87275","title":"Predicting Overall Survival in Patients with Multiple Primary Lung Cancer: Nomogram Development and Validation Study (Preprint)","year":2025,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nomogram; Overall survival; Lung; Survival analysis; Prognostic model; Proportional hazards model","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001074689,0.0001655084,0.0002859429,0.0001022755,0.00007072398,0.00002630897,0.00004414619,0.00004292157,0.00003499341],"category_scores_gemma":[0.000009725087,0.0001290679,0.0000213768,0.0001826653,0.00001829045,0.00008686759,0.00007008559,0.0001188928,6.146329e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444736,"about_ca_system_score_gemma":0.0003741235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002173623,"about_ca_topic_score_gemma":0.003631521,"domain_scores_codex":[0.9988319,0.00003103724,0.0002533485,0.0004054858,0.0002725519,0.0002057353],"domain_scores_gemma":[0.9995282,0.00004905263,0.00007925059,0.0001853793,0.00009389097,0.00006417601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005509543,0.001284275,0.9643669,0.0002739029,0.0003200598,0.0000059766,0.001519947,0.0001518805,0.000004988594,0.000003479829,0.0001383437,0.03137932],"study_design_scores_gemma":[0.0103778,0.0001960267,0.9871532,0.0008306283,0.0001168755,1.165662e-7,0.0001163136,0.0001352112,0.0002651819,0.000001181791,0.000687019,0.0001204358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955931,0.0004935064,0.00001035274,0.0002326134,0.0002032439,0.002968684,0.00001224976,0.00004420223,0.0004420156],"genre_scores_gemma":[0.9961438,0.00009021816,0.0001729183,0.0001628156,0.00004155764,0.00313041,0.00003619067,0.00001640933,0.0002057429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03125889,"threshold_uncertainty_score":0.5263236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009124873093564585,"score_gpt":0.2956076636006425,"score_spread":0.2864827905070779,"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."}}