{"id":"W2615328073","doi":"10.1016/j.clinimag.2005.07.003","title":"CT screening for lung cancer","year":2005,"lang":"en","type":"article","venue":"Clinical Imaging","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Overdiagnosis; Medicine; Malignancy; Lung cancer; Nodule (geology); Lung cancer screening; Cancer; Radiology; Medical diagnosis; Lung; Stage (stratigraphy); 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":[0.0002647597,0.00009873643,0.0002656871,0.00002708465,0.00006642072,0.00002055894,0.0000491135,0.00001773207,0.0001852604],"category_scores_gemma":[0.0001366193,0.00007782192,0.0002241251,0.00005205878,0.00005024755,0.00007827327,0.00002632728,0.000121612,0.00001177029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000119512,"about_ca_system_score_gemma":0.00007171555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000469873,"about_ca_topic_score_gemma":0.0000177741,"domain_scores_codex":[0.9990323,0.00001488157,0.0003376805,0.0002816224,0.0001014584,0.0002320356],"domain_scores_gemma":[0.9992038,0.0003136885,0.00006806639,0.0001944286,0.00006652189,0.0001534937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004591899,0.000137908,0.6152643,0.00003576949,0.0001023236,0.00001368623,0.0000147506,0.00001912612,0.000008283389,0.00004830095,0.03270042,0.3516092],"study_design_scores_gemma":[0.01275981,0.0001844458,0.3833626,0.001214815,0.001417912,0.00004328586,0.00005469637,0.09952784,0.001359897,0.00006190324,0.4996529,0.0003598932],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.716629,0.03145905,0.0293259,0.2051707,0.002338723,0.002975846,0.00007481296,0.0004957624,0.0115302],"genre_scores_gemma":[0.9693876,0.0005168542,0.01846394,0.008398668,0.002029079,0.000206756,0.00001572457,0.00002936514,0.0009520223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4669525,"threshold_uncertainty_score":0.3173486,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07114450813215384,"score_gpt":0.4808042470686708,"score_spread":0.409659738936517,"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."}}