{"id":"W4382700909","doi":"10.11159/iccste23.182","title":"Comparing Traffic Laws and Impacts in Bangladesh and Developed Countries: Insights and Recommendations for Improving Road Safety","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Road traffic; Transport engineering; Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008643479,0.0001344449,0.0001537868,0.0001262975,0.00007258791,0.00005402218,0.00007416288,0.00004854676,0.000002872878],"category_scores_gemma":[0.00001793721,0.0001096956,0.00001641141,0.0001119644,0.00003466662,0.0002541077,0.00001094295,0.0001122506,8.37419e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002409353,"about_ca_system_score_gemma":0.00000995432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001945474,"about_ca_topic_score_gemma":0.0002154799,"domain_scores_codex":[0.9993697,0.000001183364,0.0002464835,0.0001556447,0.0001023617,0.0001246604],"domain_scores_gemma":[0.9997705,0.00004494468,0.00004915155,0.00002194699,0.00006876995,0.00004472057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0006715896,0.00004127247,0.2605855,0.005679544,0.0006900172,0.000004749218,0.04701462,0.1266408,0.0490226,0.4409113,0.0001656389,0.06857239],"study_design_scores_gemma":[0.0006356604,0.00001548294,0.6090063,0.0002026241,0.00001399441,0.000003523791,0.0004510306,0.3887314,0.0004542742,0.0002454628,0.0001054339,0.0001348855],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987873,0.00007384755,0.0001058152,0.0004529377,0.0001583063,0.0002100415,0.00004619208,0.0000836016,0.00008198735],"genre_scores_gemma":[0.999071,0.0004497215,0.0003779896,0.0000101372,0.00002083487,0.00001704015,0.00003034609,0.00001304022,0.000009914855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4406659,"threshold_uncertainty_score":0.4473255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886542206766341,"score_gpt":0.2315548254757913,"score_spread":0.2126894034081279,"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."}}