{"id":"W1964512993","doi":"10.1016/j.ssci.2011.09.012","title":"The role of built environment on pedestrian crash frequency","year":2011,"lang":"en","type":"article","venue":"Safety Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":295,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Pedestrian; Transport engineering; Crash; Poison control; Demographics; Geography; Census; Collision; Pedestrian crossing; Census tract; Statistics; Engineering; Computer science; Environmental health; Population; Demography; Computer security; Medicine; Mathematics","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":[0.000324741,0.00008075102,0.00006948996,0.00003293344,0.0002215372,0.000007517048,0.0004697658,0.00002715038,0.00007540879],"category_scores_gemma":[0.00001760562,0.00005371759,0.00003280582,0.0001677348,0.0004167979,0.0001010535,0.00003826352,0.00009189371,0.0001087652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005114366,"about_ca_system_score_gemma":0.00003553757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003794664,"about_ca_topic_score_gemma":0.00001529749,"domain_scores_codex":[0.9991822,0.000009300337,0.000160612,0.0001417176,0.0002607789,0.0002454531],"domain_scores_gemma":[0.9995223,0.00003391338,0.00002578652,0.0003370271,0.000009875373,0.00007113293],"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":[0.00008830175,0.0002478593,0.04563587,0.00003923084,0.00005417852,0.00001001756,0.007553956,0.03539262,0.07066012,0.2205745,0.0002231455,0.6195202],"study_design_scores_gemma":[0.0002761293,0.0001602246,0.9273963,0.00002800964,0.00001025468,0.000004863069,0.0006081498,0.005527097,0.03534529,0.009816319,0.02053869,0.0002886669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5198386,0.0009876397,0.002555158,0.0001710833,0.0009310918,0.0003204394,0.00002139852,0.0002451645,0.4749294],"genre_scores_gemma":[0.998992,0.0002702523,0.0006330392,0.000008067839,0.00002193786,0.000003136962,3.081067e-7,0.000006819573,0.00006444453],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8817604,"threshold_uncertainty_score":0.219054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00998997219020993,"score_gpt":0.180648155664446,"score_spread":0.1706581834742361,"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."}}