{"id":"W2980653308","doi":"10.1200/jco.2019.37.27_suppl.282","title":"Quality improvement of lung cancer patient selection using clinic-based spirometry.","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; Cancer Care Ontario; Princess Margaret Cancer Centre","funders":"","keywords":"Medicine; Lung cancer screening; Spirometry; Lung cancer; Incidence (geometry); Cohort; Internal medicine; Cancer; National Lung Screening Trial; Physical therapy; Asthma","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.03193108,0.0003176275,0.0007397262,0.001853875,0.0004159246,0.001243945,0.0008562955,0.0004350162,0.001161771],"category_scores_gemma":[0.04690009,0.0002331805,0.0007760145,0.002091213,0.0004091589,0.000555405,0.0009830082,0.0005182272,0.0001932231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001805246,"about_ca_system_score_gemma":0.002968599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005348753,"about_ca_topic_score_gemma":0.007492968,"domain_scores_codex":[0.97178,0.0208394,0.001950275,0.001426703,0.003625556,0.0003780327],"domain_scores_gemma":[0.9458568,0.02593562,0.01594638,0.003260412,0.006656983,0.002343869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001023272,0.0006435772,0.8384147,0.0006248508,0.0004841284,0.00003588733,0.0003368732,0.001438395,0.0004655453,0.0001630454,0.003652083,0.1527177],"study_design_scores_gemma":[0.0006425674,0.002401705,0.982386,0.0002184085,0.0003280436,0.0001448061,0.0002011861,0.00995451,0.0006882043,0.0002973048,0.002699409,0.0000378241],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95797,0.008833851,0.01677582,0.003787289,0.0002039004,0.002225787,0.002313009,0.0004402887,0.007450076],"genre_scores_gemma":[0.9915632,0.0004464125,0.006235349,0.0002586179,0.00008187712,0.0004403554,0.0008252945,0.00001245362,0.0001363957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03193108,"threshold_uncertainty_score":0.1688697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1260749390643318,"score_gpt":0.5377986476318326,"score_spread":0.4117237085675007,"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."}}