{"id":"W2983770387","doi":"10.1007/s10877-019-00411-y","title":"Zero-heat-flux core temperature monitoring system: an observational secondary analysis to evaluate agreement with naso-/oropharyngeal probe during anesthesia","year":2019,"lang":"en","type":"article","venue":"Journal of Clinical Monitoring and Computing","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Columbian Hospital; BC Children's Hospital; University of British Columbia","funders":"","keywords":"Concordance correlation coefficient; Medicine; Anesthesia; Heat flux; Interquartile range; Limits of agreement; Perioperative; Flux (metallurgy); Surgery; Nuclear medicine; Materials science; Thermodynamics; Physics; Heat transfer; Mathematics; Statistics","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":[0.002488315,0.0002684122,0.001202528,0.000304512,0.0001605234,0.00008927842,0.0001907177,0.00016316,0.00001639089],"category_scores_gemma":[0.0001949518,0.0001922138,0.0002333489,0.0005569508,0.00004960869,0.0002696069,0.00006078347,0.0009447388,0.000004510456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001525414,"about_ca_system_score_gemma":0.0002344884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010189,"about_ca_topic_score_gemma":2.248462e-7,"domain_scores_codex":[0.9962564,0.0001969249,0.001659325,0.0004047852,0.001155376,0.0003271542],"domain_scores_gemma":[0.9971399,0.0003978302,0.0006817115,0.000345523,0.0008426079,0.0005924131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001048596,0.0001362004,0.9670186,0.0002993219,0.0008376596,0.000250316,0.000433163,0.01223901,0.01345811,0.00001125575,0.000007603634,0.004260183],"study_design_scores_gemma":[0.003385347,0.001958053,0.9852292,0.00251308,0.0009861252,0.000690354,0.0009685368,0.002747324,0.00129196,0.000004953579,0.00004194121,0.0001831305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976125,0.0003050224,0.0002198424,0.000431906,0.0009810063,0.0003501734,6.015711e-7,0.00006084975,0.00003812461],"genre_scores_gemma":[0.9854081,0.00001262549,0.01014968,0.00006637407,0.004154709,0.000002669642,0.000003790291,0.00004254635,0.0001595092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01821061,"threshold_uncertainty_score":0.783825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08077253151282343,"score_gpt":0.3930089615206184,"score_spread":0.3122364300077949,"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."}}