{"id":"W2024592414","doi":"10.1161/circresaha.113.302297","title":"The Real Decoy","year":2013,"lang":"en","type":"letter","venue":"Circulation Research","topic":"Atrial Fibrillation Management and Outcomes","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thrombosis and Atherosclerosis Research Institute","funders":"Canadian Institutes of Health Research","keywords":"Decoy; Computational biology; Computer science; Medicine; Biology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001154032,0.0001400825,0.0002307081,0.0003041124,0.0005171249,0.000259528,0.0001962203,0.000441703,0.0008770624],"category_scores_gemma":[0.0004995434,0.00009187918,0.0001776456,0.0004135099,0.0001723327,0.00008076651,0.000106368,0.001439072,0.002647903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001839156,"about_ca_system_score_gemma":0.0001585651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001851679,"about_ca_topic_score_gemma":0.000007486361,"domain_scores_codex":[0.9971576,0.0003000177,0.0003200664,0.0003043315,0.001435044,0.0004829336],"domain_scores_gemma":[0.9974799,0.001130676,0.00008679826,0.0006523672,0.0005833943,0.00006693802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001239428,8.294179e-7,0.02531589,0.00007562973,0.00006867132,0.00003018087,0.00002214504,0.000008024255,0.00002175579,0.0005367389,0.9678844,0.006023332],"study_design_scores_gemma":[0.0002556575,0.00002087636,0.1418918,0.0000285002,0.00002757719,0.00000299815,0.000024082,0.0006957928,0.000002571769,0.001064245,0.8559035,0.00008243386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003845683,0.0002070637,0.00003547964,0.9330028,0.0004107075,0.001395242,0.000001925779,0.00007760893,0.06102346],"genre_scores_gemma":[0.07982136,0.001813043,0.0001757373,0.2370982,0.06271979,0.0001372977,0.001588291,0.0002285768,0.6164176],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.6959046,"threshold_uncertainty_score":0.9981287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3104690335093303,"score_gpt":0.4728714732370101,"score_spread":0.1624024397276798,"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."}}