{"id":"W4205475443","doi":"10.1177/03611981211063471","title":"Safety Evaluation of Pedestrian Countdown Signals: Definitive Results from Two Cities in the United States","year":2021,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Federal Highway Administration","keywords":"Countdown; Pedestrian; Confidence interval; Statistics; Bayes' theorem; Poison control; Transport engineering; Demography; Medicine; Geography; Psychology; Mathematics; Engineering; Bayesian probability; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007330033,0.0008029473,0.000566469,0.001800799,0.00110198,0.0009645687,0.0006930018,0.0008550419,0.001174521],"category_scores_gemma":[0.01285918,0.0004128396,0.0009074174,0.001985022,0.0009796489,0.0007107714,0.0009012823,0.0006788744,0.0003506077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00415457,"about_ca_system_score_gemma":0.003176357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1019501,"about_ca_topic_score_gemma":0.1777211,"domain_scores_codex":[0.9888752,0.005994836,0.0005093767,0.0006981529,0.003401992,0.0005204839],"domain_scores_gemma":[0.9801271,0.006656818,0.002454899,0.00121331,0.008723127,0.000824623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009839265,0.009184577,0.8975651,0.0003807642,0.001201296,0.0007078438,0.00266156,0.01009745,0.00336158,0.0004936706,0.003613506,0.06089328],"study_design_scores_gemma":[0.001041059,0.01229139,0.9650653,0.00007123916,0.001024824,0.0001455692,0.003656325,0.007270639,0.00660975,0.0002154081,0.002511634,0.00009680054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972378,0.00008495095,0.0004073555,0.0001242634,0.000006400566,0.000139299,0.0004339051,0.00001603994,0.001549801],"genre_scores_gemma":[0.9975231,0.000134214,0.0004585858,0.0001157826,0.000008308059,0.00009424797,0.0009926021,0.000007108848,0.0006658876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1019501,"threshold_uncertainty_score":0.2027134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1298049399796726,"score_gpt":0.3775961628877628,"score_spread":0.2477912229080902,"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."}}