{"id":"W2610060618","doi":"10.1016/j.apgeog.2017.08.005","title":"Socioeconomic characteristics and crash injury exposure: A case study in Florida using two-step floating catchment area method","year":2017,"lang":"en","type":"article","venue":"Applied Geography","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"U.S. Navy; University of North Florida; Institute of Aging; U.S. Department of Transportation; Center for Produce Safety; National Stroke Foundation; University of Florida; United States-Japan Foundation; Florida State University","keywords":"Crash; Catchment area; Drainage basin; Environmental science; Hydrology (agriculture); Geography; Forensic engineering; Geology; Engineering; Computer science; Cartography; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004115013,0.0002525468,0.000358233,0.0001689901,0.0003801076,0.0001244903,0.0001635518,0.00008692885,0.000009237678],"category_scores_gemma":[0.000004136026,0.0002680645,0.00006271592,0.00006193586,0.0000590133,0.000102438,0.0001141853,0.0002603291,0.000004227913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004808725,"about_ca_system_score_gemma":0.00001295105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004347786,"about_ca_topic_score_gemma":0.0002597839,"domain_scores_codex":[0.9988605,0.00002519991,0.0003741094,0.0003211606,0.00008723731,0.0003317868],"domain_scores_gemma":[0.9992713,0.0000538307,0.0001098085,0.0004556158,0.0000130806,0.00009641713],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002357277,0.00009550613,0.9123614,0.0000670048,0.0001925902,0.0003556967,0.002393948,0.003588436,0.0008622846,0.00007781518,0.00002312291,0.07995857],"study_design_scores_gemma":[0.002937268,0.00009048399,0.9461876,0.00004115926,0.0001701789,0.0001534986,0.007812846,0.04118942,0.0002695881,0.00009187908,0.0001706928,0.0008853839],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951821,0.00005230244,0.003337358,0.000009315432,0.0003335697,0.0004824918,0.00002249809,0.0001302463,0.0004501498],"genre_scores_gemma":[0.9921386,0.00002413292,0.007591376,0.00002103885,0.0001343852,0.0000451681,0.000004745163,0.00003889544,0.000001630605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07907319,"threshold_uncertainty_score":0.9999772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491927558660726,"score_gpt":0.2711421733725324,"score_spread":0.2562228977859252,"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."}}