{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007591989,0.0008167595,0.0007372473,0.001048468,0.0006089549,0.00114333,0.0006429952,0.0006409425,0.00168682],"category_scores_gemma":[0.01999426,0.0002946235,0.001283739,0.0005863126,0.0004960293,0.0009219166,0.0008906174,0.001111714,0.0006607188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005274797,"about_ca_system_score_gemma":0.0007999502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379525,"about_ca_topic_score_gemma":0.002210145,"domain_scores_codex":[0.9984859,0.0007781337,0.0001144077,0.000311668,0.0002021015,0.000107913],"domain_scores_gemma":[0.9893529,0.006180345,0.0006174843,0.001795481,0.001440654,0.0006130729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00431333,0.0006331812,0.9530125,0.00006163682,0.0004861107,0.0001502577,0.000346783,0.002166827,0.001205411,0.00007637809,0.002224425,0.03532317],"study_design_scores_gemma":[0.0006700861,0.003784799,0.9721161,0.0000372684,0.0008690309,0.0007636088,0.0006690286,0.01560639,0.002886703,0.0002982443,0.002230863,0.00006799704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954005,0.0001755809,0.002186228,0.0001095403,0.00007765964,0.00008754128,0.001328946,0.00006732653,0.0005666792],"genre_scores_gemma":[0.9957724,0.00007942805,0.001548194,0.00003004949,0.00004416319,0.00006292187,0.002079074,0.0000232164,0.0003605394],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007591989,"threshold_uncertainty_score":0.04015076,"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."}}