{"id":"W4399210316","doi":"10.2196/46737","title":"Predicting Lung Cancer Survival to the Future: Population-Based Cancer Survival Modeling Study","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Medicine; Survivorship curve; Cancer registry; Cancer; Cohort; Survival analysis; Survival rate; Population; Retrospective cohort study; Relative survival; Oncology; Demography; Internal medicine; Environmental health","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":[0.003083619,0.0007108302,0.0005730141,0.0008792907,0.0003017652,0.0007409842,0.001154693,0.0008188339,0.001414371],"category_scores_gemma":[0.004759618,0.0002748508,0.00171641,0.001068047,0.0002120982,0.0005688892,0.0008043932,0.001166642,0.0003287387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001227937,"about_ca_system_score_gemma":0.001533082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0372721,"about_ca_topic_score_gemma":0.02050475,"domain_scores_codex":[0.9994792,0.0002571188,0.00002602289,0.000141324,0.00003812887,0.00005827186],"domain_scores_gemma":[0.9979273,0.001231557,0.0002483569,0.00024774,0.0002073256,0.0001375815],"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":[0.000459282,0.0005937596,0.599675,0.00009110508,0.001095829,0.0003738087,0.0002326831,0.370733,0.0002494426,0.001277797,0.005395414,0.01982301],"study_design_scores_gemma":[0.00005446621,0.0002225353,0.05661731,0.00003374622,0.0001963979,0.0001647613,0.0002133177,0.9400854,0.0001226355,0.001048139,0.001213499,0.00002777769],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844347,0.0003917155,0.008828909,0.001324628,0.00004005311,0.00009815826,0.003816834,0.0001326276,0.000932471],"genre_scores_gemma":[0.9911978,0.0002477702,0.003893995,0.0001309329,0.00003359866,0.0001153813,0.003810968,0.00001669771,0.0005528364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0372721,"threshold_uncertainty_score":0.07411027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04712840204475843,"score_gpt":0.3841492754834686,"score_spread":0.3370208734387101,"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."}}