{"id":"W4396525633","doi":"10.2196/53159","title":"Development of an Electronic Health Record Self-Referral Tool for Lung Cancer Screening: One-Group Posttest Study","year":2024,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Referral; Family medicine; Medicine; Health records; Gerontology; Oncology; Health care; Political science","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":[0.01563948,0.0007381063,0.0009907868,0.0006594597,0.001049366,0.0009568494,0.0009295723,0.0009439681,0.002544575],"category_scores_gemma":[0.0209576,0.0006316367,0.00098394,0.0003764979,0.0006766001,0.001419085,0.000871965,0.001633195,0.001006391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001057606,"about_ca_system_score_gemma":0.002300089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001391551,"about_ca_topic_score_gemma":0.002612097,"domain_scores_codex":[0.9936039,0.003240927,0.0006017463,0.0007634621,0.001178342,0.0006116971],"domain_scores_gemma":[0.9831333,0.009113056,0.001297161,0.001275445,0.00382906,0.001352013],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.008918007,0.3949026,0.3304606,0.0007479514,0.0004235617,0.0003764033,0.03718861,0.0009608559,0.010173,0.0003071918,0.003148642,0.2123926],"study_design_scores_gemma":[0.00621159,0.296444,0.6592358,0.0001490771,0.000342969,0.0002392324,0.01265946,0.007042555,0.01174414,0.0002714208,0.005514157,0.0001457093],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996069,0.000009723839,0.0005701648,0.00007402776,0.00002697265,0.002669167,0.00007434648,0.00002930711,0.0004773633],"genre_scores_gemma":[0.9835502,0.00005540753,0.008435795,0.0003130327,0.00004905152,0.005654725,0.0002802485,0.00001595077,0.001645673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01563948,"threshold_uncertainty_score":0.0827105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08749382442418355,"score_gpt":0.4823816339256466,"score_spread":0.3948878095014631,"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."}}