{"id":"W2124951220","doi":"10.1007/s10877-013-9463-4","title":"Monitoring nociception during general anesthesia with cardiorespiratory coherence","year":2013,"lang":"en","type":"article","venue":"Journal of Clinical Monitoring and Computing","topic":"Hemodynamic Monitoring and Therapy","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Michael Smith Health Research BC","keywords":"Cardiorespiratory fitness; Anesthesia; Nociception; Anesthesiology; Medicine; Physical therapy; 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":[0.0003472245,0.0002855721,0.000265677,0.0003104394,0.00015773,0.0002984389,0.000168387,0.0004431788,0.0006921517],"category_scores_gemma":[0.001717038,0.0001329407,0.0001127904,0.0002157977,0.0003705231,0.0002713126,0.0002909329,0.0004161863,0.0001002168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001656491,"about_ca_system_score_gemma":0.0002772575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008654717,"about_ca_topic_score_gemma":0.001856034,"domain_scores_codex":[0.9997213,0.00009301166,0.00001390534,0.00003578093,0.00008742554,0.00004847715],"domain_scores_gemma":[0.9994715,0.0002467295,0.00009943914,0.00002895912,0.00009058183,0.00006275994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005261517,0.0003013133,0.06306162,0.0003590201,0.0001739975,0.0008325604,0.0007459401,0.001291783,0.8368307,0.0002403172,0.001024955,0.08987623],"study_design_scores_gemma":[0.0003559103,0.007512214,0.8485065,0.0001677835,0.0004667853,0.004629651,0.0008135878,0.02044077,0.114288,0.0005333952,0.002219849,0.00006572218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899564,0.001284326,0.007309012,0.0001792101,0.00005505891,0.0001052826,0.0001319989,0.00004635409,0.0009323266],"genre_scores_gemma":[0.9953957,0.0005023183,0.003387732,0.0002501985,0.00008559489,0.0000682321,0.00004348196,0.00001139971,0.0002553031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008654717,"threshold_uncertainty_score":0.002315521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03797937229081354,"score_gpt":0.3559487351665961,"score_spread":0.3179693628757825,"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."}}