{"id":"W2569936242","doi":"10.1016/j.jtho.2016.11.1531","title":"P2.06-038 An RCT of the Detection of Autoantibodies to Tumor Antigens in Lung Cancer Using the EarlyCDT-Lung Test in Scotland (ECLS) in 12 208 Study Subjects","year":2017,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Lung cancer screening; Lung cancer; Stage (stratigraphy); Randomized controlled trial; National Lung Screening Trial; Internal medicine; Cancer; Lung; Incidence (geometry); Disease; Oncology","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":[0.002884294,0.0001268654,0.0006748113,0.0003926091,0.0001182103,0.00002338112,0.0003799071,0.00007722788,0.000008613909],"category_scores_gemma":[0.002217328,0.00007529971,0.00008262796,0.0002367624,0.0001889307,0.0001533389,0.0001156494,0.0009497061,1.597999e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237708,"about_ca_system_score_gemma":0.0004920029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00368191,"about_ca_topic_score_gemma":0.01065952,"domain_scores_codex":[0.998064,0.0004435093,0.0007660477,0.0001563105,0.0003166981,0.0002533999],"domain_scores_gemma":[0.9981892,0.0003116577,0.0009550181,0.0003241291,0.0001359637,0.00008406513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004456283,0.0004804413,0.9308866,0.00009284723,0.00004137776,0.0002325901,0.004113104,0.001359249,0.05149771,7.889842e-7,0.0000161856,0.01083348],"study_design_scores_gemma":[0.001314809,0.0008624136,0.9715405,0.0009793505,0.0001350824,0.0002353672,0.001518864,0.02127101,0.001978453,0.00001931868,0.00007503009,0.00006982232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959274,0.0004918068,0.00008362313,0.002364594,0.0005827771,0.0004642398,0.000001693251,0.000002559539,0.00008130991],"genre_scores_gemma":[0.9990868,0.00008136002,0.0004143745,0.000152876,0.0002158135,0.000003967921,1.672475e-7,0.00001635174,0.00002831161],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04951926,"threshold_uncertainty_score":0.5948265,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02709710823149709,"score_gpt":0.4499857429287151,"score_spread":0.422888634697218,"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."}}