{"id":"W3036464081","doi":"10.1093/europace/euaa162.069","title":"P549CIED infection risk score validation using US health claims data","year":2020,"lang":"en","type":"article","venue":"EP Europace","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université Laval","funders":"","keywords":"Medicine; Population; Data extraction; Predictive value; Internal medicine; Emergency medicine; Intensive care medicine; MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01023818,0.0001978316,0.0006953063,0.0001665522,0.0003837235,0.0001436441,0.0003786685,0.00009024468,0.0003187978],"category_scores_gemma":[0.004233508,0.000270288,0.00007116437,0.0004151416,0.00004483609,0.000888211,0.000186824,0.0003019047,0.00349103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004131421,"about_ca_system_score_gemma":0.0002098426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00397291,"about_ca_topic_score_gemma":0.0001351052,"domain_scores_codex":[0.9953424,0.0007929986,0.002504392,0.0008502305,0.0001116402,0.0003983139],"domain_scores_gemma":[0.9957432,0.00030022,0.002688989,0.0008897231,0.00005167243,0.0003261906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000431468,0.0001443338,0.8489692,0.0009731707,0.0001251253,0.000003311,0.004131138,0.01039306,0.00003409885,0.0107881,0.1228642,0.001531101],"study_design_scores_gemma":[0.001602567,0.0002643609,0.1931911,0.0001164799,0.00002767701,0.00001636093,0.0003511622,0.4116978,0.00003512586,0.002426202,0.3894416,0.0008296635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.835447,0.001655873,0.1077524,0.04982371,0.001251108,0.001007444,0.001058444,0.0002390591,0.001764979],"genre_scores_gemma":[0.9616464,0.0007901372,0.007743776,0.02747283,0.001524128,0.00001417824,0.0005019102,0.00009855481,0.0002081055],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6557781,"threshold_uncertainty_score":0.9999749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7243929919077208,"score_gpt":0.4827545252674831,"score_spread":0.2416384666402377,"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."}}