{"id":"W4391805368","doi":"10.1620/tjem.2024.j016","title":"Morphological Predictors of Primary Lung Cancer among Part-Solid Ground-Grass Nodules on High-Resolution CT","year":2024,"lang":"en","type":"article","venue":"The Tohoku Journal of Experimental Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Aging","funders":"","keywords":"Medicine; Lung cancer; Radiology; High resolution; Computed tomography; Predictive value; Lung; Lung cancer screening; Nuclear medicine; Nodule (geology); Tomography; Ground-glass opacity; Adenocarcinoma; Cancer; Pathology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004883328,0.0002563419,0.0007140599,0.0001686405,0.00007867753,0.00001458396,0.0001771456,0.00005837471,0.0006733355],"category_scores_gemma":[0.00004715309,0.0001244506,0.0002134063,0.000218274,0.0004725602,0.0001223462,0.00004983063,0.0003774403,0.000004890885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009640115,"about_ca_system_score_gemma":0.0001356535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004470383,"about_ca_topic_score_gemma":0.000008450183,"domain_scores_codex":[0.9978218,0.0001051955,0.0007353152,0.0002349751,0.0008389663,0.0002637569],"domain_scores_gemma":[0.9988741,0.0002443843,0.0003149602,0.0002637284,0.00009690555,0.0002059063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01100722,0.008972043,0.2440261,0.002058362,0.0134721,0.01260731,0.01334162,0.001164775,0.2969872,0.005164608,0.3742363,0.0169623],"study_design_scores_gemma":[0.01753521,0.02486228,0.5947428,0.02681457,0.005504363,0.003446131,0.002796647,0.0009316952,0.3114785,0.0002537285,0.01098294,0.0006510786],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314636,0.05893928,0.00001986964,0.005552513,0.0024706,0.0004072785,0.00001756328,0.00003067369,0.001098642],"genre_scores_gemma":[0.9936707,0.003203876,0.00005004633,0.0005727157,0.002208758,0.00005318001,0.00001694085,0.00003126511,0.0001925246],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3632534,"threshold_uncertainty_score":0.7372551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02132219819735093,"score_gpt":0.3262043839065193,"score_spread":0.3048821857091684,"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."}}