{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00428698,0.0001921226,0.0004457443,0.0003109127,0.0002651693,0.00007231398,0.0001179793,0.00008186416,0.00005847586],"category_scores_gemma":[0.0002871165,0.0001423793,0.00008093208,0.000363893,0.00009292344,0.0001168686,0.0001126684,0.0001827615,4.01778e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004531442,"about_ca_system_score_gemma":0.0008423698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006897993,"about_ca_topic_score_gemma":0.00003520609,"domain_scores_codex":[0.9970602,0.0006300223,0.0004804477,0.0005047183,0.0009147256,0.0004098377],"domain_scores_gemma":[0.9978994,0.0007482481,0.0001721496,0.0003362697,0.0006539707,0.0001900219],"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":[0.02429301,0.007342806,0.2642082,0.01218326,0.0006171336,0.00001491695,0.003755147,0.0003608519,0.009994774,0.0002343414,0.002409032,0.6745865],"study_design_scores_gemma":[0.1348677,0.01039108,0.01592672,0.03434776,0.0001597749,0.000008100737,0.00143546,0.1296522,0.2424798,0.0002234811,0.4298573,0.0006504998],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.03271697,0.000006963884,0.03440361,0.0001085619,0.000004505954,0.9326823,0.000005705282,0.00002781571,0.00004353039],"genre_scores_gemma":[0.002896773,1.451008e-7,0.2799114,0.00001714651,0.00005020458,0.7170607,0.000003901491,0.00002946456,0.0000302022],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.6739361,"threshold_uncertainty_score":0.5806059,"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."}}