{"id":"W4405417331","doi":"10.24294/jipd9960","title":"Effects of road users’ education programmes on driving behaviour in Nigeria","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Policy and Development","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Likert scale; Transport engineering; Exploratory factor analysis; Constraint (computer-aided design); Road traffic safety; Road traffic; Scale (ratio); Aggressive driving; Business; Engineering; Human factors and ergonomics; Applied psychology; Psychology; Poison control; Marketing; Geography; Environmental health; Medicine; Service (business)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001035883,0.0001121512,0.0001687555,0.0003512376,0.00001992809,0.00002676216,0.00006024267,0.00007053831,0.000004581222],"category_scores_gemma":[0.00002903522,0.00008452029,0.00003122285,0.0001649113,0.00001583383,0.00008681964,0.00001237455,0.0002097981,8.390662e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282996,"about_ca_system_score_gemma":0.0003594847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005800128,"about_ca_topic_score_gemma":0.00001075858,"domain_scores_codex":[0.9993273,0.00001325931,0.000337382,0.00006351994,0.0001281439,0.0001303851],"domain_scores_gemma":[0.9997777,0.00003999455,0.00005137272,0.00003742486,0.00002576893,0.00006777093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003047058,0.00007278603,0.03623394,0.0008297942,0.0001269862,0.0000347036,0.01438484,0.005552249,0.001711815,0.0008019147,0.001465095,0.9387554],"study_design_scores_gemma":[0.0002549436,0.00005672106,0.9868112,0.0008109854,0.000009221795,0.00007147502,0.0002273092,0.00008909745,0.005751837,0.0002069434,0.005595509,0.000114749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975175,0.001077938,0.0004048224,0.00007969935,0.0006026572,0.00008926777,5.413655e-7,0.00002305528,0.0002044798],"genre_scores_gemma":[0.9951558,0.0001516447,0.00445539,0.00002890073,0.0001709111,0.000003330397,9.46747e-7,0.00001240845,0.0000207253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9505773,"threshold_uncertainty_score":0.3446637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003019864357777182,"score_gpt":0.2345295865047226,"score_spread":0.2315097221469454,"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."}}