{"id":"W2321988701","doi":"10.3141/2519-10","title":"Leading Pedestrian Interval: Assessment and Implementation Guidelines","year":2015,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic and Road Safety","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Schema crosswalk; Guideline; Intersection (aeronautics); Pedestrian; Checklist; Transport engineering; Process (computing); Interval (graph theory); Computer science; Operations research; Engineering; Mathematics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004894391,0.0002056678,0.0003536726,0.0006637417,0.0003009618,0.0001333621,0.0005281301,0.0001260032,0.0001024288],"category_scores_gemma":[0.00007084818,0.0001551333,0.0001800146,0.001023758,0.0002721837,0.0006344621,0.000006444423,0.001430053,0.00001119405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302742,"about_ca_system_score_gemma":0.000494764,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002418724,"about_ca_topic_score_gemma":0.02138648,"domain_scores_codex":[0.9949498,0.0005157451,0.001293485,0.0002412105,0.00237902,0.0006206949],"domain_scores_gemma":[0.9960638,0.0003318563,0.0001813957,0.0002606032,0.002703045,0.0004592745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008008487,0.000142556,0.7322297,0.0007048746,0.0004831763,0.0001640835,0.01082628,0.03076322,0.003437031,0.004515367,0.09566087,0.1202721],"study_design_scores_gemma":[0.002346121,0.0005024439,0.9482391,0.0002712671,0.00005531066,0.00000147906,0.009861544,0.001833944,0.0007086851,0.001664089,0.03429155,0.0002244957],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882408,0.0005359229,0.006315586,0.003119929,0.0007694886,0.0006184433,0.0000319164,0.00006720931,0.0003007548],"genre_scores_gemma":[0.9927874,0.001633107,0.005011295,0.00002675527,0.0002414901,0.00003583977,0.00001939813,0.00005370895,0.0001909946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2160094,"threshold_uncertainty_score":0.9964707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2019383486267466,"score_gpt":0.4719894044194237,"score_spread":0.270051055792677,"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."}}