{"id":"W4226324224","doi":"10.1158/1055-9965.epi-22-0099","title":"Biomarker-Based Lung Cancer Screening Eligibility: Implementation Considerations","year":2022,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; Public Health Ontario; University of Toronto","funders":"National Cancer Institute; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Lung cancer; Lung cancer screening; Biomarker; Implementation; Cancer; Risk assessment","routes":{"ca_aff":true,"ca_fund":true,"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":[0.09404816,0.001300465,0.00167712,0.001423915,0.002799452,0.007533581,0.007010614,0.02355943,0.00772843],"category_scores_gemma":[0.2620925,0.0008911514,0.002698012,0.001141103,0.006963924,0.01271549,0.006596262,0.03004287,0.002089868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0084958,"about_ca_system_score_gemma":0.03918624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02733438,"about_ca_topic_score_gemma":0.02654823,"domain_scores_codex":[0.9259862,0.04189636,0.007100025,0.004710132,0.01686304,0.003444268],"domain_scores_gemma":[0.7891074,0.1562759,0.005349461,0.003343174,0.04106301,0.004861173],"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":[0.0002543327,0.0001176545,0.001860148,0.003269722,0.0001635213,0.0004492175,0.001629313,0.003226135,0.001547379,0.2397141,0.5125338,0.2352346],"study_design_scores_gemma":[0.0002322894,0.0005127016,0.003186451,0.01272309,0.0002614137,0.0004748711,0.001730275,0.004840686,0.001942876,0.2102376,0.7635726,0.0002853065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0004774741,0.008795495,0.006641588,0.974859,0.005892235,0.00009263003,0.0001391284,0.0000588903,0.00304352],"genre_scores_gemma":[0.03431356,0.02429553,0.03564854,0.879418,0.02076309,0.0008899382,0.0002572501,0.0001356878,0.004278439],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09404816,"threshold_uncertainty_score":0.4973801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1031378937298325,"score_gpt":0.4742042059349563,"score_spread":0.3710663122051238,"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."}}