{"id":"W2760094102","doi":"10.4103/2045-9912.215746","title":"A method for calculating the gas volume proportions and inhalation temperature of inert gas mixtures allowing reaching normothermic or hypothermic target body temperature in the awake rat","year":2017,"lang":"en","type":"article","venue":"Medical Gas Research","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Neuroprotection; Chemistry; Xenon; Inert gas; Volume (thermodynamics); Inhalation; Thermodynamics; Anesthesia; Organic chemistry; Medicine; Pharmacology","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":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.008706944,0.0002286532,0.0003744216,0.0002332486,0.002093731,0.0004721544,0.001536499,0.0003119072,0.0002030689],"category_scores_gemma":[0.03472248,0.0001141784,0.000117437,0.0005266336,0.001014625,0.0002716879,0.0002922057,0.002293168,0.000004923315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005187281,"about_ca_system_score_gemma":0.0004718475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002780107,"about_ca_topic_score_gemma":0.0001864682,"domain_scores_codex":[0.9930354,0.002767707,0.0004907713,0.0006524541,0.002243084,0.0008105283],"domain_scores_gemma":[0.9929472,0.005665676,0.0001602696,0.0008455587,0.0001768001,0.0002044646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002902552,0.0002007775,0.00316836,0.0001785434,0.00001135324,0.000369292,0.0028673,0.00001920092,0.9767732,0.0008229445,0.002820013,0.01247873],"study_design_scores_gemma":[0.006471726,0.002510899,0.03570252,0.002343349,0.00006975128,0.003453713,0.005201099,0.2164772,0.6775985,0.008323432,0.04049677,0.001351053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695851,0.00008207437,0.000116896,0.02745456,0.00004655957,0.002155803,0.00002074511,0.00002512321,0.0005131038],"genre_scores_gemma":[0.9963476,0.000126403,0.0007189202,0.0007911378,0.0002781192,0.0004718759,0.000009215079,0.00004815532,0.001208596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2991748,"threshold_uncertainty_score":0.9992054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09330098377593812,"score_gpt":0.421234203034572,"score_spread":0.3279332192586338,"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."}}