{"id":"W1998944935","doi":"10.1080/10903120903144973","title":"Carbon Footprinting of Emergency Medical Services Systems: A Proof-of-Concept Study","year":2009,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services","funders":"","keywords":"Greenhouse gas; Carbon footprint; Electricity; Environmental science; Natural gas; Energy consumption; Waste management; Engineering","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":[0.01627244,0.001994209,0.001013355,0.000894046,0.0005846719,0.001957357,0.002508519,0.002029367,0.003863261],"category_scores_gemma":[0.01336983,0.0005246223,0.001434619,0.0003899446,0.001261518,0.002866382,0.001548133,0.001718164,0.0006847313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377436,"about_ca_system_score_gemma":0.002912156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006961063,"about_ca_topic_score_gemma":0.0006085514,"domain_scores_codex":[0.9909967,0.003821605,0.0003597088,0.0007884557,0.003478596,0.000554858],"domain_scores_gemma":[0.9825911,0.00698815,0.002673381,0.0009657335,0.005598688,0.001183016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.01733656,0.03656643,0.02276474,0.02438746,0.001615246,0.002099848,0.001159125,0.0369798,0.5186496,0.0128273,0.01490576,0.310708],"study_design_scores_gemma":[0.006813685,0.2431388,0.01656791,0.002028693,0.001312178,0.003038713,0.002082479,0.05009006,0.5959002,0.004142586,0.07452951,0.0003552563],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8371274,0.008278377,0.1079424,0.003065785,0.001282938,0.02644464,0.00316174,0.0005555551,0.01214107],"genre_scores_gemma":[0.794583,0.004135699,0.1794126,0.001740011,0.0002705151,0.01445484,0.001600159,0.00007717049,0.003726064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01627244,"threshold_uncertainty_score":0.0860579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0248162177641478,"score_gpt":0.3114736820163646,"score_spread":0.2866574642522167,"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."}}