{"id":"W1516328353","doi":"10.1016/j.amepre.2009.04.016","title":"Project HeartBeat!","year":2009,"lang":"en","type":"article","venue":"American Journal of Preventive Medicine","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Institute for Health Information; University of Saskatchewan","funders":"National Heart, Lung, and Blood Institute; U.S. Public Health Service","keywords":"Heartbeat; Medicine; Computer science; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.0007944591,0.0001545826,0.0004345628,0.000418159,0.0001015909,0.00001297191,0.0003817847,0.00002184649,0.0002611168],"category_scores_gemma":[0.002949769,0.0001101874,0.0000897736,0.001244789,0.001370405,0.0001909492,0.0000289172,0.0005584858,0.00001947808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005838694,"about_ca_system_score_gemma":0.0001373745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009823752,"about_ca_topic_score_gemma":7.348877e-7,"domain_scores_codex":[0.9976407,0.0003582011,0.0007176059,0.0002339496,0.0007693649,0.0002801369],"domain_scores_gemma":[0.9980852,0.000435778,0.0008965341,0.0002095832,0.0002356117,0.0001372714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001592206,0.00043982,0.0001365587,0.00001060524,0.00002863721,0.0002407241,0.001788985,0.000001913905,0.7947223,0.00657997,0.02044035,0.175451],"study_design_scores_gemma":[0.009026818,0.06413764,0.0325129,0.00228719,0.0004014859,0.002767947,0.005050214,0.0001117405,0.5921726,0.07275831,0.2174936,0.001279546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8800366,0.0002067457,0.02795685,0.07249362,0.001643995,0.0006779363,0.00001010135,0.00008949183,0.01688465],"genre_scores_gemma":[0.9876575,0.0001375597,0.001034264,0.009614697,0.0005675902,0.000002221004,6.363489e-7,0.00001151028,0.0009739507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2025497,"threshold_uncertainty_score":0.5049315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06564880619097639,"score_gpt":0.3933253266567291,"score_spread":0.3276765204657527,"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."}}