{"id":"W4383269400","doi":"10.2139/ssrn.4497843","title":"On Designing a Fire Emergency Vehicle Fleet","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Facility Location and Emergency Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; University of Toronto","funders":"","keywords":"Fleet management; Aeronautics; Transport engineering; Emergency vehicle; Computer science; Engineering; Automotive engineering; Telecommunications","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":[0.0005028009,0.0004769623,0.0002306267,0.0003446471,0.001164891,0.001569278,0.0007542677,0.001069904,0.008026377],"category_scores_gemma":[0.001411442,0.0004124905,0.0004450695,0.0002372031,0.0005257148,0.001674591,0.0011676,0.0005531802,0.0008372507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007756135,"about_ca_system_score_gemma":0.0008102896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00610868,"about_ca_topic_score_gemma":0.01001228,"domain_scores_codex":[0.999737,0.00009755688,0.00001090764,0.00003109672,0.00007703376,0.00004647319],"domain_scores_gemma":[0.9997539,0.0001111295,0.00001915473,0.00002920268,0.00005930783,0.00002717746],"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":[0.0001034689,0.00005841594,0.001545217,0.0002066986,0.00002565556,0.0007643244,0.0008410356,0.8001101,0.02198003,0.07286984,0.00290358,0.09859161],"study_design_scores_gemma":[0.00003190464,0.0004356074,0.001320173,0.0001541129,0.00004911096,0.0005605255,0.002443775,0.8449059,0.01571875,0.04269107,0.09162615,0.00006289702],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09624951,0.0002314384,0.8105447,0.0008684168,0.0001247179,0.000273504,0.00008988482,0.0004543982,0.09116337],"genre_scores_gemma":[0.5919671,0.0006969308,0.3608576,0.000165866,0.00003138515,0.0001450454,0.0001753029,0.0002654949,0.0456954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008026377,"threshold_uncertainty_score":0.02685094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027095255793214,"score_gpt":0.2415240460618895,"score_spread":0.2212530935039574,"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."}}