{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00442668,0.0007950417,0.001471904,0.000892505,0.008148683,0.007651803,0.001655298,0.05730549,0.01804335],"category_scores_gemma":[0.04691373,0.0006958897,0.001269349,0.0005025573,0.007641403,0.006836551,0.005004281,0.0716894,0.009068422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004733875,"about_ca_system_score_gemma":0.00738655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005582381,"about_ca_topic_score_gemma":0.01214319,"domain_scores_codex":[0.9929157,0.002061144,0.0006228579,0.001129004,0.001946098,0.001325062],"domain_scores_gemma":[0.9833628,0.006447912,0.0009132594,0.0009020388,0.002198951,0.006174981],"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":[0.00001458809,0.00002463308,0.0005038828,0.00002542416,0.00001638175,0.0009442214,0.0001818574,0.00001781435,0.00005898607,0.005293032,0.9874439,0.005475251],"study_design_scores_gemma":[0.00009274061,0.00006341585,0.0009956654,0.0004033655,0.00002898863,0.00209265,0.001169661,0.0001421739,0.0001064718,0.01749193,0.9773453,0.00006756643],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002375122,0.00109481,0.00005756583,0.9704592,0.02415343,0.000004616499,0.00001281382,0.00001462293,0.003965526],"genre_scores_gemma":[0.002782132,0.0005553808,0.00006484087,0.9609777,0.02596854,0.00001265566,0.00001017248,0.00001381963,0.009614606],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05730549,"threshold_uncertainty_score":0.06036097,"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."}}