{"id":"W568582425","doi":"","title":"A Novel Approach for Diagnosing Cycling Safety Issues using Automated Computer Vision Techniques","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Intersection (aeronautics); Collision; Signage; Transport engineering; Computer science; Computer security; 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":[0.0004040485,0.0006527381,0.0004905416,0.00213027,0.0004092326,0.0008277541,0.001073591,0.0008984944,0.001099612],"category_scores_gemma":[0.0008812009,0.0003650365,0.0004977133,0.0006439534,0.0003659828,0.0006814048,0.0007675977,0.0006090698,0.0004752582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003721726,"about_ca_system_score_gemma":0.0007618727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002361867,"about_ca_topic_score_gemma":0.004367984,"domain_scores_codex":[0.9994231,0.00006535849,0.00002595619,0.0001507606,0.0002735851,0.00006122742],"domain_scores_gemma":[0.9995127,0.00009300413,0.00005994653,0.00005828037,0.0002428302,0.0000332311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001569331,0.0003260756,0.004863727,0.0002015069,0.00007226525,0.0002407847,0.0002070269,0.01600663,0.1816306,0.002794156,0.002107194,0.791393],"study_design_scores_gemma":[0.0000654004,0.0007939978,0.01491531,0.00005735493,0.0001310031,0.001668577,0.0002432266,0.8648297,0.1015366,0.004478313,0.01117669,0.0001038519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02409136,0.0001351394,0.972594,0.00007219644,0.00003834207,0.0001455439,0.00006815438,0.0009643061,0.001890815],"genre_scores_gemma":[0.1889022,0.0001732974,0.8085909,0.00007708008,0.00003806763,0.0001398013,0.0001459401,0.00003518663,0.001897481],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002361867,"threshold_uncertainty_score":0.00469631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143201526767486,"score_gpt":0.3722912266060959,"score_spread":0.330859211338421,"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."}}