{"id":"W3205925198","doi":"10.1007/s12630-021-02120-0","title":"Suggested strategies to reduce the carbon footprint of anesthetic gases in the operating room","year":2021,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"NOSM University; Health Sciences North","funders":"","keywords":"Carbon footprint; Environmental science; Anesthetic; Anesthesia; Waste management; Greenhouse gas; Medicine; Engineering; Geology","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":[0.003402179,0.0007618204,0.0006530686,0.0007895398,0.003522419,0.003792425,0.002424716,0.05701371,0.008589447],"category_scores_gemma":[0.01956295,0.0004290775,0.001517484,0.0006672455,0.003966935,0.003132502,0.002030227,0.02848187,0.002709418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005815519,"about_ca_system_score_gemma":0.0164409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02685865,"about_ca_topic_score_gemma":0.06699115,"domain_scores_codex":[0.9967486,0.0007950383,0.0003788753,0.000256083,0.001253299,0.0005680493],"domain_scores_gemma":[0.9926345,0.003132356,0.0004503496,0.0001870442,0.002102773,0.001493049],"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":[0.00009769714,0.0002249818,0.001256114,0.0002155081,0.00004020345,0.00210422,0.0003156172,0.000560501,0.00109889,0.01602027,0.951404,0.02666204],"study_design_scores_gemma":[0.0001632463,0.0001660297,0.002827354,0.0005502731,0.00005088925,0.001123691,0.001150618,0.0007978879,0.0007888788,0.02652096,0.9657628,0.00009746153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.0004753924,0.00153528,0.0002544604,0.9842769,0.009578777,0.0000168083,0.00003612053,0.00002376327,0.003802432],"genre_scores_gemma":[0.009213766,0.002386532,0.001374563,0.9578084,0.02010485,0.00006745594,0.00004473643,0.00002355004,0.008976152],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.05701371,"threshold_uncertainty_score":0.05340463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03479683435161503,"score_gpt":0.2617363558253469,"score_spread":0.2269395214737319,"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."}}