{"id":"W2751309877","doi":"10.1097/aln.0000000000001874","title":"Xenon and Cardioprotection","year":2017,"lang":"en","type":"letter","venue":"Anesthesiology","topic":"Anesthesia and Neurotoxicity Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; McMaster University; Population Health Research Institute","funders":"","keywords":"Medicine; Cardioprotection; Xenon; Cardiology; Nuclear physics; Ischemia","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":[0.001249291,0.0005402919,0.0009230069,0.0003686392,0.002388725,0.002453247,0.001066119,0.04510957,0.005218986],"category_scores_gemma":[0.01060225,0.0003461254,0.0008870334,0.0003813155,0.002389926,0.001717569,0.0009809867,0.03087894,0.003842958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002820144,"about_ca_system_score_gemma":0.002575018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662484,"about_ca_topic_score_gemma":0.004038551,"domain_scores_codex":[0.9992489,0.0002438198,0.00009568455,0.0000765943,0.0002045125,0.0001304702],"domain_scores_gemma":[0.9974124,0.001618149,0.0002186003,0.000109299,0.0003186986,0.0003229287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001955887,0.0001034694,0.00129085,0.0001055101,0.00003511859,0.01659858,0.0001280136,0.0002037538,0.0005574068,0.01212306,0.9379333,0.03072536],"study_design_scores_gemma":[0.0003105298,0.0002331883,0.001670417,0.0004724184,0.00007778043,0.0118103,0.0003996109,0.000919885,0.001039159,0.03662747,0.9463817,0.00005759082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001251403,0.003581441,0.0001146104,0.9713627,0.01533937,0.00001191683,0.00002758284,0.00002370899,0.008287366],"genre_scores_gemma":[0.02357139,0.007010687,0.0003458027,0.8292162,0.1245926,0.0000527211,0.00004829473,0.00002351602,0.01513874],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04510957,"threshold_uncertainty_score":0.02046174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07150810281263333,"score_gpt":0.3032512181664143,"score_spread":0.231743115353781,"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."}}