{"id":"W4406787938","doi":"10.1016/j.jtho.2025.01.013","title":"The International Association for the Study of Lung Cancer Staging Project: The Database and Proposal for the Revision of the Staging of Pulmonary Neuroendocrine Carcinoma in the Forthcoming Ninth Edition of the TNM Classification for Lung Cancer","year":2025,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"International Association for the Study of Lung Cancer; Sanofi; AstraZeneca","keywords":"Medicine; Ninth; Neuroendocrine carcinoma; Lung cancer staging; Lung cancer; Oncology; General surgery; Carcinoma; Internal medicine","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":[0.03346363,0.001817666,0.005472505,0.007810536,0.002291975,0.004941778,0.007447061,0.003927721,0.003501816],"category_scores_gemma":[0.0461821,0.001995542,0.003247841,0.01785751,0.001542659,0.002426414,0.004954634,0.01153012,0.002916249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006787331,"about_ca_system_score_gemma":0.04320581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0810859,"about_ca_topic_score_gemma":0.07777852,"domain_scores_codex":[0.9877927,0.003569168,0.003578025,0.0007453281,0.003416964,0.0008977195],"domain_scores_gemma":[0.9319541,0.009141837,0.007586407,0.00517443,0.03883413,0.007309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001872329,0.0007316408,0.1636857,0.001715816,0.001118987,0.0002726557,0.0006591852,0.001634724,0.002118893,0.009019393,0.686058,0.1311126],"study_design_scores_gemma":[0.002373954,0.0004582001,0.6592809,0.002082537,0.001745693,0.0005118187,0.0008799972,0.002602484,0.00156634,0.005214147,0.3229539,0.000330067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.07645711,0.04041235,0.05158279,0.1874189,0.0464408,0.013079,0.5552647,0.0016964,0.0276481],"genre_scores_gemma":[0.1097489,0.01932587,0.1621234,0.02274332,0.008795171,0.02744998,0.6383512,0.0008749589,0.01058711],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0810859,"threshold_uncertainty_score":0.1769748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04515490801387808,"score_gpt":0.4892663703647838,"score_spread":0.4441114623509058,"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."}}