{"id":"W4393254956","doi":"10.1016/j.ccm.2024.02.004","title":"Imaging in Lung Cancer Staging","year":2024,"lang":"en","type":"article","venue":"Clinics in Chest Medicine","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Medicine; Lung cancer; Cancer; Oncology; Radiology; Lung; Internal medicine; Metastasis; Pathology","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":[0.0006885921,0.0001723673,0.0004296019,0.000320027,0.00001804646,0.00001321427,0.00007309825,0.00006219779,0.0003877541],"category_scores_gemma":[0.0001757983,0.0001280122,0.00005810784,0.0005224537,0.00009979731,0.00007417913,0.00003603255,0.0004364957,0.00001583365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009122839,"about_ca_system_score_gemma":0.0002885825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007172129,"about_ca_topic_score_gemma":0.0003097812,"domain_scores_codex":[0.9984416,0.00002675051,0.0005366431,0.0004347452,0.0002530372,0.000307179],"domain_scores_gemma":[0.9991093,0.0004280988,0.00004216022,0.0002669955,0.00003459275,0.000118898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000358674,0.0001342801,0.9290908,0.000860362,0.00004379718,0.001425593,0.001595007,0.00002129263,0.00004561282,0.0003761103,0.005990024,0.06038125],"study_design_scores_gemma":[0.009223941,0.0002734301,0.8515736,0.03132219,0.0005351666,0.00005480184,0.001046874,0.03208337,0.0002748877,0.001067537,0.07215101,0.0003931636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7721512,0.1339424,0.00007204364,0.07889421,0.00351189,0.0007968324,0.00001000136,0.0001663653,0.01045505],"genre_scores_gemma":[0.9843789,0.01177054,0.0001351908,0.002104672,0.0008488373,0.0001522694,0.0000194485,0.00003784394,0.0005522997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2122277,"threshold_uncertainty_score":0.5220187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501837018717235,"score_gpt":0.4286652120302461,"score_spread":0.3936468418430737,"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."}}