{"id":"W2909677738","doi":"10.17802/2306-1278-2018-7-4-92-100","title":"SCREENING IN CARDIOLOGY","year":2018,"lang":"en","type":"article","venue":"Complex Issues of Cardiovascular Diseases","topic":"Health Promotion and Cardiovascular Prevention","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Population; Process (computing); Family medicine; Environmental health; Intensive care medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269277,0.0001681829,0.001086285,0.0002412001,0.00006396013,0.000008166418,0.0001293854,0.0001001405,0.0002205322],"category_scores_gemma":[0.0001991894,0.0001643844,0.001635693,0.0003556846,0.000273886,0.00007944088,0.00008222887,0.0001140597,0.00005946744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003302654,"about_ca_system_score_gemma":0.00007899478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001087157,"about_ca_topic_score_gemma":0.0000038188,"domain_scores_codex":[0.9975018,0.0008155883,0.000425037,0.0003764068,0.0005540896,0.0003271175],"domain_scores_gemma":[0.9985805,0.0000255372,0.00005752777,0.0008659315,0.0002673939,0.0002030911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003623654,0.0006021999,0.2158698,0.001953216,0.01197004,0.0006527588,0.0004966573,0.001386919,0.0009175049,0.0008152264,0.004532109,0.7604412],"study_design_scores_gemma":[0.002567671,0.0002526594,0.829722,0.0002451874,0.0009040793,0.0001209281,0.0001374599,0.0003030465,0.0003697723,0.0002142009,0.1649806,0.0001823532],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6500692,0.1458581,0.17988,0.0008007767,0.0007143776,0.002600671,0.0000720403,0.000396425,0.01960828],"genre_scores_gemma":[0.9962768,0.0007493735,0.00190159,0.0001012574,0.0007249233,0.00003552473,0.00008226595,0.00002720484,0.0001010825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7602589,"threshold_uncertainty_score":0.6703401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05270226802747899,"score_gpt":0.3493483987839133,"score_spread":0.2966461307564343,"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."}}