{"id":"W2018754160","doi":"10.1097/jto.0b013e3181b27799","title":"The IASLC Lung Cancer Staging Project: Proposals Regarding the Relevance of TNM in the Pathologic Staging of Small Cell Lung Cancer in the Forthcoming (Seventh) Edition of the TNM Classification for Lung Cancer","year":2009,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":492,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"University of Texas MD Anderson Cancer Center; Barbara Ann Karmanos Cancer Institute; Wayne State University; Institut Gustave-Roussy; International Association for the Study of Lung Cancer; Eli Lilly and Company","keywords":"Medicine; Lung cancer staging; Lung cancer; Stage (stratigraphy); TNM staging system; Oncology; Internal medicine; Population; Malignancy; Cancer; Survival analysis; Radiology; Neoplasm staging; Mediastinoscopy","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":[0.1554538,0.001249535,0.002205183,0.00492688,0.003543813,0.006647757,0.01339945,0.01483761,0.002408578],"category_scores_gemma":[0.1312324,0.001405249,0.003441183,0.007161435,0.00642293,0.003804266,0.006042125,0.01634914,0.001798001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009662429,"about_ca_system_score_gemma":0.07017073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07305665,"about_ca_topic_score_gemma":0.1028834,"domain_scores_codex":[0.9560584,0.01486675,0.008408996,0.001448626,0.01621374,0.003003446],"domain_scores_gemma":[0.8327969,0.04451421,0.009066611,0.007165326,0.09006086,0.01639622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000898203,0.0007477822,0.05935284,0.001222418,0.0001980226,0.0003421318,0.001964189,0.002893168,0.002885595,0.04355293,0.7420547,0.1438881],"study_design_scores_gemma":[0.0008618397,0.001208397,0.1847536,0.004050717,0.0007388055,0.0006313387,0.003195778,0.004829854,0.004211862,0.02186688,0.7730742,0.0005769329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.03553859,0.02280757,0.03952862,0.7457568,0.07880116,0.007543352,0.01781068,0.0008192636,0.051394],"genre_scores_gemma":[0.1239533,0.01732608,0.3870693,0.3147356,0.03794099,0.01496496,0.0615336,0.001000581,0.04147569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1554538,"threshold_uncertainty_score":0.8221281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04987874132873191,"score_gpt":0.4713034335580689,"score_spread":0.421424692229337,"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."}}