{"id":"W1996386461","doi":"10.2316/journal.201.2008.1.201-1869","title":"NEURAL NETWORK-BASED PREDICTION OF CARDIOVASCULAR RESPONSE DUE TO THE GRAVITATIONAL EFFECTS","year":2008,"lang":"en","type":"article","venue":"Control and Intelligent Systems","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Artificial neural network; Computer science; Neuroscience; Psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001433653,0.0001196892,0.0004825289,0.00005988789,0.0001307246,0.00001213837,0.00005435244,0.00006842736,0.000005751775],"category_scores_gemma":[0.0003435159,0.00007858343,0.0002173011,0.0001225201,0.00007669297,0.00003041688,0.000009924129,0.0001132815,0.00001476052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004462734,"about_ca_system_score_gemma":0.0001258151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001227917,"about_ca_topic_score_gemma":0.000001573348,"domain_scores_codex":[0.9984681,0.0005166922,0.0003819525,0.000207927,0.000237106,0.0001882351],"domain_scores_gemma":[0.9985558,0.000799366,0.00005495811,0.0003109999,0.0001484454,0.0001304112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01007014,0.0005214394,0.0318796,0.001006255,0.003641944,0.0002867039,0.002629279,0.868185,0.03938465,0.001385477,0.006611608,0.03439784],"study_design_scores_gemma":[0.005124635,0.001784633,0.2999817,0.000377289,0.0006123384,0.0003274071,0.0001095339,0.4661241,0.001039721,0.000023327,0.2242881,0.0002072484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921357,0.008417793,0.06411429,0.002474278,0.001004717,0.002488462,0.00004616192,0.00004692733,0.00005033824],"genre_scores_gemma":[0.9987645,0.00001876469,0.00002880503,0.0004562812,0.000429657,0.0001419144,0.000008736309,0.000009734739,0.0001416157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.402061,"threshold_uncertainty_score":0.3204539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01792754738044243,"score_gpt":0.2246558253841052,"score_spread":0.2067282780036627,"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."}}