{"id":"W2152391608","doi":"10.3109/10903127.2010.519818","title":"Carbon Footprinting of North American Emergency Medical Services Systems","year":2010,"lang":"en","type":"article","venue":"Prehospital Emergency Care","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services","funders":"","keywords":"Greenhouse gas; Interquartile range; Population; Medicine; Emergency medical services; Environmental health; Emergency medicine","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":[0.00104754,0.0002637239,0.0001440011,0.001665223,0.000515361,0.0008710651,0.0004298493,0.0002994941,0.001671324],"category_scores_gemma":[0.004189837,0.00008886153,0.000175669,0.003344663,0.0003728672,0.0006636733,0.0009815389,0.0002355051,0.000161138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00168949,"about_ca_system_score_gemma":0.001447011,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03388115,"about_ca_topic_score_gemma":0.0668109,"domain_scores_codex":[0.9975445,0.0007990967,0.0001726733,0.0003035234,0.000984339,0.000195864],"domain_scores_gemma":[0.9961928,0.0007501796,0.001412355,0.000166281,0.001204577,0.0002738494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006570342,0.00005816255,0.9527327,0.0001750858,0.0001141229,0.0001315722,0.001155022,0.001453145,0.0006723501,0.0005287111,0.00191176,0.04100162],"study_design_scores_gemma":[0.000002372083,0.00003980662,0.9930227,0.00006869857,0.00001250804,0.0001775583,0.0018288,0.00106307,0.0002670392,0.0002029689,0.003306018,0.000008372329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988914,0.0009634438,0.0006367054,0.0009647282,0.00001629373,0.00004471029,0.001689093,0.00002452119,0.00674654],"genre_scores_gemma":[0.9981901,0.0002789794,0.0004100318,0.00014082,0.00001649723,0.00003350885,0.000694596,0.000004198038,0.0002312355],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03388115,"threshold_uncertainty_score":0.06736791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006272095112790583,"score_gpt":0.2645783994166162,"score_spread":0.2583063043038256,"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."}}