{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001317032,0.0003896947,0.0004236999,0.003035186,0.0007128222,0.002699469,0.0005914975,0.000724909,0.005943058],"category_scores_gemma":[0.005168217,0.0001698172,0.0004741654,0.0051875,0.0007487808,0.00311903,0.001066389,0.001132967,0.0003552628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003471095,"about_ca_system_score_gemma":0.004023076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1223367,"about_ca_topic_score_gemma":0.1876621,"domain_scores_codex":[0.9988528,0.0004387317,0.00009835826,0.00009225639,0.000285559,0.0002322747],"domain_scores_gemma":[0.9968066,0.001026873,0.0007409732,0.00009274181,0.001009884,0.0003228994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001964833,0.0004629027,0.6829262,0.003735658,0.0005328315,0.002528463,0.008212203,0.0112326,0.001607164,0.07226429,0.03486246,0.1814388],"study_design_scores_gemma":[0.00002531692,0.0003298528,0.7882466,0.003215742,0.0002209906,0.0005329879,0.09211261,0.003435872,0.0008740551,0.02315239,0.08771122,0.0001423866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6716889,0.05519719,0.008231037,0.08971738,0.0007384234,0.0004145827,0.0161224,0.0001877037,0.1577024],"genre_scores_gemma":[0.9657755,0.02554978,0.002311444,0.001571666,0.00006378808,0.00009977046,0.00207371,0.00001680734,0.002537545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1223367,"threshold_uncertainty_score":0.2432492,"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."}}