{"id":"W3031839791","doi":"10.1007/s10877-020-00543-6","title":"Accuracy and precision of zero-heat-flux temperature measurements with the 3M™ Bair Hugger™ Temperature Monitoring System: a systematic review and meta-analysis","year":2020,"lang":"en","type":"review","venue":"Journal of Clinical Monitoring and Computing","topic":"Thermal Regulation in Medicine","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Limits of agreement; Confidence interval; Meta-analysis; Population; Medicine; Heat flux; Statistics; Accuracy and precision; Nuclear medicine; Physics; Mathematics; Internal medicine; Heat transfer; Thermodynamics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.006889704,0.0005995019,0.01199267,0.0002428798,0.0001734555,0.000130367,0.0003111482,0.0003844929,0.000002249152],"category_scores_gemma":[0.003335477,0.0002667492,0.001536031,0.0008235511,0.0001368779,0.0001375793,0.0001646088,0.002016488,3.634307e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006720157,"about_ca_system_score_gemma":0.0002240711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002914762,"about_ca_topic_score_gemma":8.116675e-8,"domain_scores_codex":[0.9920966,0.001581421,0.004250706,0.0004985292,0.001332156,0.0002405821],"domain_scores_gemma":[0.9897472,0.004188059,0.004178104,0.0005555363,0.0009009998,0.0004301254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.00009281034,0.00007658388,0.001191486,0.8806323,0.1001722,0.00009948109,0.0002275261,0.00002512021,0.00002163737,0.000002891293,0.00006514575,0.01739276],"study_design_scores_gemma":[0.0006296278,0.0004953144,0.0007202675,0.3511579,0.644571,0.0009187892,0.000267534,0.00001693473,0.000008715197,8.364669e-7,0.001015177,0.0001978594],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003981864,0.9934515,0.00003755451,0.0005304288,0.0004729927,0.001485818,0.00000386921,0.00002840339,0.000007574536],"genre_scores_gemma":[0.114218,0.8833852,0.0008444571,0.00005139427,0.001370173,0.00001564071,0.000001962716,0.0000654849,0.00004777682],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5443988,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1732008174112833,"score_gpt":0.4450511700606034,"score_spread":0.2718503526493201,"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."}}