{"id":"W2911462463","doi":"","title":"Time Series Analysis of Road Traffic Accidents in Bauchi State","year":2018,"lang":"en","type":"article","venue":"ATBU Journal of Science, Technology & Education","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autoregressive integrated moving average; Akaike information criterion; Transport engineering; Work (physics); Quarter (Canadian coin); Commission; Road traffic; Time series; Business; Geography; Engineering; Statistics; Mathematics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003511437,0.0001597428,0.0001933453,0.001049795,0.0003684953,0.0004283973,0.000219553,0.0002762361,0.0006656779],"category_scores_gemma":[0.0007831234,0.0001235074,0.0002057063,0.001358398,0.0001504063,0.0002420775,0.0002140579,0.0003544271,0.0001637394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007455698,"about_ca_system_score_gemma":0.0004717984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05514929,"about_ca_topic_score_gemma":0.06907228,"domain_scores_codex":[0.9998209,0.00004768484,0.00002216236,0.00003292358,0.00004158023,0.00003481458],"domain_scores_gemma":[0.9995909,0.0001200086,0.00009535433,0.00001627122,0.0001410192,0.00003644822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000297322,0.0006390684,0.9511688,0.0001250858,0.0001575876,0.001357881,0.002428203,0.01045258,0.004429965,0.001039239,0.001588302,0.02631588],"study_design_scores_gemma":[0.000006682709,0.0002651863,0.9715866,0.00004029321,0.00005561687,0.0001993144,0.004217749,0.02071591,0.001073644,0.0001517824,0.001665538,0.00002162315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991352,0.00005329533,0.0001285832,0.00004613461,0.000007132373,0.000006556328,0.0001852697,0.000003720619,0.0004341742],"genre_scores_gemma":[0.9989415,0.0001231487,0.0001839121,0.000007745482,0.000004754591,0.000007636928,0.0003558625,8.337588e-7,0.0003746862],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05514929,"threshold_uncertainty_score":0.1096566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003422642665542882,"score_gpt":0.2376808250819037,"score_spread":0.2342581824163608,"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."}}