{"id":"W2153034243","doi":"10.1096/fasebj.28.1_supplement.1184.10","title":"Nonstationary multivariate modeling of cerebral autoregulation during resting state and hypercapnia (1184.10)","year":2014,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Traumatic Brain Injury and Neurovascular Disturbances","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Cerebral autoregulation; Autoregulation; Hypercapnia; Cerebral blood flow; Middle cerebral artery; Blood pressure; Mathematics; Anesthesia; Cardiology; Medicine; Internal medicine; Respiratory system; Ischemia","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":[0.0004046595,0.0004202049,0.0002690689,0.0001478982,0.00009525972,0.0002577962,0.0003020686,0.0001998124,0.0006519066],"category_scores_gemma":[0.0009935111,0.0001713151,0.0004094564,0.0001702527,0.000134086,0.0001594252,0.0001655714,0.0003663108,0.0001306159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257353,"about_ca_system_score_gemma":0.0003842001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0103429,"about_ca_topic_score_gemma":0.009816026,"domain_scores_codex":[0.9998941,0.000036067,0.000003117101,0.00002461414,0.00002288604,0.00001912388],"domain_scores_gemma":[0.999818,0.0001040151,0.00002661586,0.00001800691,0.0000253015,0.000008155572],"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":[0.0003243247,0.0001106594,0.009142017,0.00005749962,0.0001490771,0.0001102591,0.0001264654,0.9209399,0.03270288,0.001852886,0.0002517941,0.03423227],"study_design_scores_gemma":[0.00000437654,0.00004222203,0.005705172,0.000001074004,0.00001197123,0.00001186026,0.000002971251,0.9928262,0.001092299,0.0002229865,0.00007370961,0.000005141955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7264137,0.000102082,0.2723827,0.00007029356,0.00001436632,0.00002345619,0.0001826942,0.0002549162,0.0005558738],"genre_scores_gemma":[0.9906772,0.00006190141,0.008462227,0.000005358497,0.00000836475,0.00002732978,0.000114462,0.00001977644,0.0006232963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0103429,"threshold_uncertainty_score":0.02056539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02594492357733417,"score_gpt":0.2560698905700114,"score_spread":0.2301249669926772,"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."}}