{"id":"W4405199157","doi":"10.1053/j.semtcvs.2024.10.003","title":"The Importance of Pulmonary Nodule Features in the Selection of Treatment for the High-Risk Patient with Stage I Non-Small Cell Lung Cancer","year":2024,"lang":"en","type":"editorial","venue":"Seminars in Thoracic and Cardiovascular Surgery","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"American Association for Thoracic Surgery","keywords":"Medicine; Lung cancer; Stage (stratigraphy); Selection (genetic algorithm); Nodule (geology); Lung; Oncology; Internal medicine; Radiology; Pathology; Artificial intelligence","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":[0.006538952,0.002943855,0.004805381,0.002276956,0.001687037,0.004618448,0.003093709,0.01276235,0.003558136],"category_scores_gemma":[0.02760244,0.001319156,0.002452111,0.0009712356,0.001669613,0.002924802,0.0008809575,0.02702253,0.003837795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002556699,"about_ca_system_score_gemma":0.001860906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002023336,"about_ca_topic_score_gemma":0.004968896,"domain_scores_codex":[0.9973407,0.0006291945,0.0005647248,0.0003143014,0.0009945576,0.0001565394],"domain_scores_gemma":[0.9737167,0.01571946,0.0009086303,0.0004471354,0.007013434,0.002194717],"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":[0.0001501445,0.0000348345,0.0002182043,0.0004335358,0.00009347167,0.0004321711,0.00001872236,0.0000623971,0.0001225847,0.0002742662,0.9849566,0.01320318],"study_design_scores_gemma":[0.0006561197,0.0002441246,0.005403768,0.002286997,0.0008248526,0.002776325,0.0001688475,0.001342052,0.0005265732,0.002558861,0.9830753,0.0001361684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001035787,0.007588875,0.0001823923,0.04819102,0.9426225,0.00002188274,0.00005907624,0.00004087185,0.001189772],"genre_scores_gemma":[0.0007265735,0.00447564,0.0001295552,0.01993547,0.9727502,0.00001793472,0.00003340026,0.00001636648,0.001914878],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01276235,"threshold_uncertainty_score":0.03458172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006373552002161885,"score_gpt":0.2633866272351313,"score_spread":0.2570130752329694,"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."}}