{"id":"W559984311","doi":"","title":"IMPROVING THE SAFETY OF OLDER PEDESTRIANS: FROM UNDERSTANDING OF THE PROBLEM TO GENERATING STRATEGIES","year":2004,"lang":"en","type":"article","venue":"ITE 2004 Annual Meeting and ExhibitInstitute of Transportation Engineers (ITE)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pedestrian; Transport engineering; Field (mathematics); Computer science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004784002,0.001192107,0.001396844,0.005200477,0.002301148,0.007177707,0.00205169,0.002014179,0.002001934],"category_scores_gemma":[0.01574611,0.0006373084,0.0004950405,0.003834075,0.00234984,0.00798069,0.00335118,0.001548423,0.0004151598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00788523,"about_ca_system_score_gemma":0.01243407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1118076,"about_ca_topic_score_gemma":0.1096061,"domain_scores_codex":[0.9968727,0.001116978,0.000281318,0.0003454108,0.001072139,0.0003114509],"domain_scores_gemma":[0.9951514,0.00181257,0.0007325,0.0002729963,0.001752825,0.0002776663],"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":[0.0001747825,0.000361836,0.1016504,0.002729015,0.000112897,0.001551332,0.06266736,0.007918445,0.002141162,0.03572677,0.01778095,0.7671851],"study_design_scores_gemma":[0.00006487181,0.000686612,0.1553416,0.006777789,0.0003541676,0.002893836,0.3278989,0.02242152,0.006343036,0.1271438,0.3497213,0.0003525141],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5787197,0.05033557,0.1907396,0.1194443,0.0004073553,0.001363468,0.002748512,0.0006161291,0.05562539],"genre_scores_gemma":[0.8080698,0.05283142,0.1281474,0.002873725,0.000135259,0.0003789216,0.0016683,0.00005411811,0.005841113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1118076,"threshold_uncertainty_score":0.2223136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007525078755880356,"score_gpt":0.1899449496274537,"score_spread":0.1824198708715734,"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."}}