{"id":"W2957487981","doi":"10.1016/s2213-2600(19)30188-2","title":"Germline variants invited to lung cancer screening","year":2019,"lang":"en","type":"letter","venue":"The Lancet Respiratory Medicine","topic":"Lung Cancer Treatments and Mutations","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Institut Universitaire de Cardiologie et de Pneumologie de Québec","funders":"","keywords":"Lung cancer; Genome-wide association study; Medicine; Context (archaeology); Genetic association; Population; Lung cancer susceptibility; Cancer; Oncology; Bioinformatics; Internal medicine; Genetics; Single-nucleotide polymorphism; Genotype; Biology; Environmental health; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003486851,0.001239821,0.001806737,0.001155076,0.004747209,0.005742763,0.001864759,0.09896266,0.01096337],"category_scores_gemma":[0.02810889,0.001155111,0.001953194,0.0007832302,0.003182559,0.003653851,0.002769216,0.05423231,0.008486466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00433549,"about_ca_system_score_gemma":0.005375061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01192071,"about_ca_topic_score_gemma":0.01779674,"domain_scores_codex":[0.995139,0.001265933,0.0004620225,0.0006503239,0.001409731,0.001073025],"domain_scores_gemma":[0.9878216,0.006098544,0.0006949898,0.0003450671,0.001523647,0.003516113],"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":[0.0000613404,0.00002913623,0.0006533044,0.00004447251,0.00002140116,0.001980928,0.0001014239,0.00004775378,0.0002387502,0.001669656,0.9896042,0.005547569],"study_design_scores_gemma":[0.0003509976,0.0001384521,0.002557438,0.0007136624,0.0001030126,0.002853204,0.000750148,0.0007289762,0.0003145875,0.01252626,0.9788483,0.0001147997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002795758,0.001767402,0.00005610066,0.9641679,0.03046199,0.00001209635,0.00007159839,0.00002084272,0.003162536],"genre_scores_gemma":[0.002820705,0.001083981,0.00008954168,0.9331273,0.05432973,0.00003220332,0.00004231562,0.00002650742,0.008447766],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09896266,"threshold_uncertainty_score":0.03667617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07625950212863655,"score_gpt":0.4034041880645177,"score_spread":0.3271446859358811,"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."}}