{"id":"W4200183324","doi":"10.1016/j.chest.2021.12.638","title":"Decision Support Tools for Low-Dose CT Lung Cancer Screening","year":2021,"lang":"en","type":"article","venue":"CHEST Journal","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Medical Research Council; Queen's University Belfast; Queen's University; Cancer Research UK; Barts Charity","keywords":"Medicine; CINAHL; Deliberation; Decision aids; Context (archaeology); PsycINFO; Lung cancer screening; Medical physics; Medical education; MEDLINE; Family medicine; Lung cancer; Nursing; Alternative medicine; Pathology; Psychological intervention","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003000727,0.001285001,0.0007460144,0.003211548,0.0005797656,0.004783548,0.001447497,0.001207223,0.02272618],"category_scores_gemma":[0.02599309,0.0004061338,0.0008629564,0.001212176,0.0002167213,0.002491552,0.001584612,0.001191257,0.004608607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007467431,"about_ca_system_score_gemma":0.001559625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002563189,"about_ca_topic_score_gemma":0.004242014,"domain_scores_codex":[0.99819,0.0006986647,0.0003371591,0.0001905374,0.0004701716,0.0001135905],"domain_scores_gemma":[0.977101,0.01887085,0.001004588,0.0005729556,0.001704722,0.0007458404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002220559,0.001158782,0.02548921,0.002039143,0.0004039819,0.002407583,0.0009508268,0.03701185,0.00382317,0.01582125,0.1016021,0.8070714],"study_design_scores_gemma":[0.001003031,0.000652243,0.01053403,0.002452946,0.0006826842,0.002856751,0.001708549,0.6680135,0.01519345,0.1121001,0.1844871,0.0003156238],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1373874,0.005770626,0.669192,0.01835888,0.001204239,0.002613688,0.02985619,0.08354364,0.05207339],"genre_scores_gemma":[0.4850728,0.00200873,0.493496,0.001745661,0.0003109454,0.0008206089,0.009693422,0.0008374146,0.006014431],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02272618,"threshold_uncertainty_score":0.07602662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220763139053957,"score_gpt":0.3669783669467646,"score_spread":0.324770735556225,"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."}}