{"id":"W2098583900","doi":"10.1186/s12889-015-2116-4","title":"Installation of speed humps and pedestrian-motor vehicle collisions in Toronto, Canada: a quasi-experimental study","year":2015,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Traffic and Road Safety","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Institute for Clinical Evaluative Sciences; Hospital for Sick Children; General Electric (Canada); York University","funders":"Canadian Institutes of Health Research","keywords":"Pedestrian; Poisson regression; Traffic calming; Rate ratio; Medicine; Biostatistics; Poison control; Injury prevention; Transport engineering; Environmental science; Environmental health; Epidemiology; Engineering; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004707928,0.00008970503,0.0002041892,0.00004462696,0.00004072325,0.00001376139,0.00006739452,0.00003767514,0.00001620057],"category_scores_gemma":[0.00005027583,0.00008730022,0.00001197065,0.0001356324,0.00001366011,0.0001617933,0.00002537248,0.0000685675,7.123929e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001392859,"about_ca_system_score_gemma":0.001671996,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6045055,"about_ca_topic_score_gemma":0.92209,"domain_scores_codex":[0.9990268,0.0000843868,0.0003239203,0.0001228434,0.00020845,0.0002335884],"domain_scores_gemma":[0.9994729,0.00003808518,0.00004125325,0.0001294658,0.00002912187,0.0002891908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001329284,0.004129876,0.9456752,0.0003148296,0.00006760519,0.0000137688,0.02720786,0.007171416,0.0001668085,0.001780323,0.005376521,0.007962855],"study_design_scores_gemma":[0.002757853,0.0008621441,0.9292355,0.00001712762,0.000002186209,0.000002890276,0.03088726,0.03244082,0.00001378901,0.000002159136,0.003618029,0.000160266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966899,0.0009485764,0.0001033915,0.0001681095,0.0001933499,0.0004620164,0.0000222924,0.00005623596,0.001356085],"genre_scores_gemma":[0.9996576,0.00002033729,0.0002036587,0.00002432525,0.0000378125,0.000007513623,0.000009534205,0.00001286518,0.00002633224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3175844,"threshold_uncertainty_score":0.3981281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04712779077156697,"score_gpt":0.2973133128418857,"score_spread":0.2501855220703187,"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."}}