{"id":"W4417465895","doi":"10.2196/72424","title":"A Machine Learning Approach to Predicting Mortality Risk in Chemotherapy-Treated Lung Cancer: Machine Learning Model Development and Validation","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Risk assessment; Predictive modelling; Model risk; Risk model; Lung disease","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":[0.01165909,0.00102333,0.0008841686,0.00230816,0.0004960121,0.001233175,0.001201052,0.00077226,0.0007477169],"category_scores_gemma":[0.02071811,0.0003121393,0.001287508,0.0009696771,0.0004752106,0.0007016523,0.001023029,0.001775977,0.000216787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269594,"about_ca_system_score_gemma":0.002042505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004650817,"about_ca_topic_score_gemma":0.003378238,"domain_scores_codex":[0.9966953,0.00224585,0.000208712,0.0003999682,0.0003316691,0.00011853],"domain_scores_gemma":[0.9887866,0.008935072,0.0007325402,0.0004392425,0.0009266187,0.0001799966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004089304,0.0006400507,0.211025,0.0001559445,0.0007767026,0.0001999018,0.0002125824,0.6299604,0.001191986,0.002248624,0.001497363,0.1516825],"study_design_scores_gemma":[0.00001147472,0.0001252527,0.006274081,0.00002751563,0.00004340317,0.0000420572,0.00002385616,0.9912429,0.0003881572,0.001601351,0.0002100511,0.000009808624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5447531,0.001698941,0.4487736,0.00135218,0.0000867339,0.000372373,0.0005183209,0.0004862049,0.00195849],"genre_scores_gemma":[0.9390885,0.0002808583,0.059575,0.0001017141,0.00004783339,0.0001986433,0.0003512488,0.00002094528,0.0003352489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165909,"threshold_uncertainty_score":0.06165987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01275479045094815,"score_gpt":0.3163644165150524,"score_spread":0.3036096260641042,"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."}}