{"id":"W2161462675","doi":"10.1186/1476-072x-11-42","title":"A validation of ground ambulance pre-hospital times modeled using geographic information systems","year":2012,"lang":"en","type":"article","venue":"International Journal of Health Geographics","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Health Services; University of Calgary","funders":"Alberta Innovates; Alberta Innovates - Health Solutions","keywords":"Geographic information system; Emergency medical services; Context (archaeology); Computer science; Interval (graph theory); Transport engineering; Medical emergency; Geography; Operations research; Medicine; Cartography; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001008039,0.0001261726,0.0003714618,0.0007234222,0.00007431746,0.00002342553,0.0001391997,0.00006930765,0.00001875997],"category_scores_gemma":[0.0001547187,0.0001063599,0.0001950912,0.0003306241,0.00006643932,0.0008948848,0.0000291066,0.0002113934,0.000001823251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009302165,"about_ca_system_score_gemma":0.0001933614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005176939,"about_ca_topic_score_gemma":0.00000173303,"domain_scores_codex":[0.9975917,0.00007376549,0.0011419,0.0000629186,0.0008930253,0.0002367412],"domain_scores_gemma":[0.9964386,0.00005464925,0.001211341,0.0001038168,0.002061007,0.000130536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000394227,0.0006364268,0.9743933,0.0005898752,0.001420175,0.000005537478,0.004435661,0.002417405,0.0003399999,0.00905476,0.0006621538,0.005650442],"study_design_scores_gemma":[0.003248957,0.001428857,0.9749789,0.002054906,0.0003144873,0.0006078237,0.003168144,0.005812279,0.0004699037,0.0007074242,0.006818277,0.0003900687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846988,0.005246012,0.005723705,0.001010429,0.002790824,0.0002399742,0.00002459591,0.00001442108,0.0002512833],"genre_scores_gemma":[0.9969973,0.001557929,0.0008740816,0.0001438086,0.0003808831,0.000003969539,0.00002778752,0.000009349364,0.000004865784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01229857,"threshold_uncertainty_score":0.433723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.027743425831786,"score_gpt":0.3358364873249625,"score_spread":0.3080930614931764,"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."}}