{"id":"W1995021566","doi":"10.1016/j.jcrc.2012.01.023","title":"The problem of parameter estimation within variability analysis: Generalization through optimization","year":2012,"lang":"en","type":"article","venue":"Journal of Critical Care","topic":"Heart Rate Variability and Autonomic Control","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"","keywords":"Medicine; Generalization; Cardiology; Stenosis; Acceleration; Asymmetry; Internal medicine; Heart rate variability; Heart Rhythm; Estimation; Heart rate; Statistics; Mathematics; Blood pressure; Mathematical analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009550225,0.001850282,0.003984663,0.001296896,0.0009248199,0.002301334,0.002402749,0.003574921,0.001480362],"category_scores_gemma":[0.03676437,0.001689204,0.002342367,0.001488331,0.002765637,0.00366516,0.003145819,0.00478007,0.0003677936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329974,"about_ca_system_score_gemma":0.002190537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007461,"about_ca_topic_score_gemma":0.003404089,"domain_scores_codex":[0.9966999,0.001743688,0.0002057823,0.0008953345,0.0003036973,0.0001516644],"domain_scores_gemma":[0.9766665,0.02086353,0.000865919,0.0008033865,0.0006516566,0.0001490895],"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":[0.00008778663,0.0000572838,0.0009906532,0.0002127994,0.0001905394,0.00009219212,0.0001679221,0.9241009,0.0008139655,0.01821664,0.00165077,0.05341858],"study_design_scores_gemma":[0.00001090939,0.00002254831,0.0001686538,0.00001646309,0.00001536686,0.00001754415,0.00001104491,0.9780762,0.000142624,0.02125181,0.0002554092,0.00001151697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005904881,0.0003947452,0.992505,0.0006049961,0.00002347248,0.00003094787,0.00005196444,0.0001165815,0.0003674282],"genre_scores_gemma":[0.5072123,0.001764364,0.4848836,0.0006126371,0.0005771385,0.0006008931,0.0005829429,0.0004490847,0.003317082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01007461,"threshold_uncertainty_score":0.05050707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221087893668413,"score_gpt":0.3299383910758468,"score_spread":0.3078296017090055,"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."}}