{"id":"W6980345583","doi":"","title":"A Built Environment for an Ageing Society: A subpopulation analysis of pedestrian crashes at signalized intersections in Montreal, Canada
\\nTRB
\\n15-4619","year":2015,"lang":"en","type":"article","venue":"Spectrum Research Repository (Concordia University)","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Crash; Built environment; Poison control; Population; Population ageing; Human factors and ergonomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009291875,0.0005021162,0.0006043484,0.00167258,0.002076676,0.001280317,0.001460574,0.0006897026,0.002542141],"category_scores_gemma":[0.001707185,0.0004070371,0.001374236,0.003975082,0.0006032811,0.000595438,0.001292391,0.0006617242,0.0003795115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0141939,"about_ca_system_score_gemma":0.01720869,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9850746,"about_ca_topic_score_gemma":0.9911327,"domain_scores_codex":[0.9993725,0.00008666202,0.00004318231,0.0001207199,0.0001395085,0.0002374928],"domain_scores_gemma":[0.9986148,0.0001100842,0.0002349005,0.0001245855,0.0005544548,0.0003611075],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005505762,0.00004081258,0.9963841,0.00002037198,0.0001097218,0.00008878958,0.0006932395,0.0001321265,0.0001046826,0.00007149196,0.0006418222,0.001657626],"study_design_scores_gemma":[0.000004569436,0.00003891295,0.9974903,0.00001678529,0.00004565749,0.00002465646,0.001600034,0.0003489336,0.00001786051,0.000015286,0.0003871568,0.000009744404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961026,0.0002326221,0.0001137633,0.0001557427,0.000004693465,0.00004549802,0.002815338,0.000004696636,0.0005250916],"genre_scores_gemma":[0.9961913,0.0002638522,0.0001503525,0.00007853968,0.000006175456,0.00003488379,0.00230285,0.000007122183,0.0009649036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01492536,"threshold_uncertainty_score":0.1029844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09817762749671352,"score_gpt":0.3619812740344767,"score_spread":0.2638036465377632,"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."}}