{"id":"W4200228280","doi":"10.21203/rs.3.rs-927179/v1","title":"Non-invasive Monitoring of Core Body Temperature for Targeted Temperature Management in Post-Cardiac Arrest Care","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Targeted temperature management; Core (optical fiber); Medicine; Intensive care medicine; Materials science; Emergency medicine; Resuscitation; Cardiopulmonary resuscitation","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":[0.0009051075,0.000251926,0.0002921213,0.0002356918,0.0001237238,0.0006812357,0.0002404757,0.0002938386,0.005924382],"category_scores_gemma":[0.004490793,0.00008622911,0.0002102833,0.0002083121,0.0001770246,0.0003908724,0.0002961211,0.0003314186,0.000798262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828188,"about_ca_system_score_gemma":0.0007385418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007861236,"about_ca_topic_score_gemma":0.0009506009,"domain_scores_codex":[0.9995109,0.0002602717,0.00001984011,0.00004192736,0.0001365619,0.00003049045],"domain_scores_gemma":[0.9985548,0.0009677663,0.0001270795,0.0001022636,0.0001824622,0.0000655748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007762044,0.001189638,0.07700986,0.002146344,0.0002911841,0.001007641,0.0006706722,0.007638768,0.07372022,0.004385731,0.03109903,0.793079],"study_design_scores_gemma":[0.0008734209,0.005555835,0.6500778,0.001390761,0.0006626161,0.003764082,0.001521484,0.1780384,0.08011183,0.02645641,0.05143931,0.0001081005],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8076251,0.0154922,0.1334538,0.006023988,0.003123045,0.0006115923,0.001900636,0.0006950095,0.03107467],"genre_scores_gemma":[0.9665148,0.003513342,0.02174171,0.0003042931,0.0007166245,0.0001473954,0.0004748001,0.0001451352,0.006441907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005924382,"threshold_uncertainty_score":0.01981902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838442765566736,"score_gpt":0.37141862135486,"score_spread":0.3430341936991926,"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."}}