{"id":"W4403085860","doi":"10.15353/rea.v14i2.5009","title":"Cardiovascular Medical Device Failure: Using Five-Week Moving Averages To Assess Adverse Event Report Data","year":2022,"lang":"en","type":"article","venue":"Review of Economic Analysis","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Medicine; Event data; Adverse effect; Heart failure; Medical emergency; Cardiology; Internal medicine; Computer science; Real-time computing; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01658192,0.0001982706,0.00178522,0.0002552053,0.0007874974,0.000003840521,0.001054966,0.0001126576,0.008323653],"category_scores_gemma":[0.00161035,0.0002013694,0.0009791269,0.0008215855,0.00003364915,0.0001816924,0.001628011,0.0006824705,0.0001043927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008694619,"about_ca_system_score_gemma":0.001858791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006279537,"about_ca_topic_score_gemma":0.001805987,"domain_scores_codex":[0.9923898,0.003252702,0.00248459,0.0007701569,0.0006700187,0.0004327194],"domain_scores_gemma":[0.9950539,0.0007529515,0.00100067,0.00269339,0.0001504548,0.0003485731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001489913,0.0007463695,0.3282999,0.1358245,0.05932191,0.001690071,0.005551708,0.3407755,0.00001053681,0.003799609,0.0681923,0.05563864],"study_design_scores_gemma":[0.0004842995,0.0000541672,0.008345434,0.006131017,0.009935165,0.0000795758,0.007442723,0.0497284,8.237553e-7,0.00005168534,0.9171128,0.0006339263],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.470817,0.3910784,0.04260685,0.07513022,0.003781572,0.008630505,0.004346208,0.0002827201,0.003326612],"genre_scores_gemma":[0.837684,0.1185721,0.008658754,0.02624178,0.001338536,0.0006986561,0.005197973,0.0001349005,0.001473314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8489205,"threshold_uncertainty_score":0.9925829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2585119395013347,"score_gpt":0.4955956691271511,"score_spread":0.2370837296258164,"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."}}