{"id":"W4405352106","doi":"10.2196/54240","title":"Close-Up on Ambulance Service Estimation in Indonesia: Monte Carlo Simulation Study","year":2024,"lang":"en","type":"article","venue":"Interactive Journal of Medical Research","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Engineering and Physical Sciences Research Council","keywords":"Estimation; Emergency medical services; Ambulance service; Per capita; Population; Medical emergency; Emergency department; Medicine; Geography; Environmental health; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00324165,0.0006261232,0.001223414,0.001110696,0.0008226685,0.001426842,0.001348114,0.001725533,0.0037809],"category_scores_gemma":[0.01504524,0.0006949539,0.001292562,0.001101764,0.0007718076,0.001214818,0.0009988724,0.001814355,0.0002459138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001972985,"about_ca_system_score_gemma":0.001732984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06859324,"about_ca_topic_score_gemma":0.03043832,"domain_scores_codex":[0.9988964,0.0006186883,0.00005845656,0.0001678293,0.00008772256,0.0001708412],"domain_scores_gemma":[0.9719412,0.02493993,0.00100505,0.0004628426,0.001197793,0.0004532343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001164569,0.0001661982,0.01887826,0.00004770225,0.00005627752,0.0001934205,0.00005724674,0.975596,0.00007553471,0.001949646,0.0004839527,0.002379385],"study_design_scores_gemma":[0.00001560506,0.0000295742,0.001488802,0.00001145755,0.00001636555,0.00002302566,0.00005605002,0.9977192,0.00005191458,0.0004856863,0.00009446772,0.000007798599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588118,0.0007392116,0.03318769,0.0007462345,0.00005989724,0.0001620559,0.0007596888,0.0001194556,0.005413996],"genre_scores_gemma":[0.9880832,0.000290736,0.009806382,0.00008721456,0.00001997615,0.0001139291,0.0005098791,0.00002289452,0.001065747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06859324,"threshold_uncertainty_score":0.1363879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0938507473883777,"score_gpt":0.4461294418284024,"score_spread":0.3522786944400247,"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."}}