{"id":"W2042300114","doi":"10.2196/resprot.4039","title":"Development and Validation of a Personalized, Web-Based Decision Aid for Lung Cancer Screening Using Mixed Methods: A Study Protocol","year":2014,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Michigan Comprehensive Cancer Center; University of Michigan","keywords":"Lung cancer screening; Usability; Medicine; Context (archaeology); Lung cancer; Focus group; Risk perception; Cancer screening; Protocol (science); Family medicine; Medical physics; Cancer; Psychology; Alternative medicine; Computer science; Oncology; Perception; Pathology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.07748017,0.002334444,0.001856648,0.002748417,0.003352916,0.002507199,0.003848572,0.002917507,0.02018088],"category_scores_gemma":[0.06374652,0.002407022,0.002662138,0.001831296,0.001837555,0.001679839,0.003334507,0.003220326,0.004673615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004093665,"about_ca_system_score_gemma":0.02103704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001914022,"about_ca_topic_score_gemma":0.003414836,"domain_scores_codex":[0.963891,0.02508928,0.004300476,0.002029551,0.003519712,0.00117008],"domain_scores_gemma":[0.956761,0.01957715,0.002779139,0.005657134,0.01339828,0.00182728],"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":[0.06053552,0.07018181,0.01486075,0.03668771,0.0008878998,0.001948008,0.02087597,0.0131284,0.01294507,0.0134314,0.0288239,0.7256936],"study_design_scores_gemma":[0.1977092,0.1618569,0.06478605,0.02907677,0.002221561,0.001404528,0.0214028,0.02480076,0.03731107,0.01683398,0.4414237,0.001172755],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.0109358,0.0001239869,0.01333326,0.0001005899,0.00006204121,0.9737853,0.0006207759,0.00006534318,0.0009729607],"genre_scores_gemma":[0.0024215,0.00008332055,0.02001346,0.00005899781,0.000007519217,0.9769704,0.0001345858,0.000005191082,0.0003050772],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.07748017,"threshold_uncertainty_score":0.4097592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2825153645801946,"score_gpt":0.6245099287575536,"score_spread":0.341994564177359,"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."}}