{"id":"W1967950721","doi":"10.1061/(asce)0733-947x(2000)126:1(21)","title":"Commuter Cyclist Accident Patterns in Toronto and Ottawa","year":2000,"lang":"en","type":"article","venue":"Journal of Transportation Engineering","topic":"Traffic and Road Safety","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Collision; Poison control; Injury prevention; Road surface; Transport engineering; Geography; Demography; Forensic engineering; Medicine; Medical emergency; Engineering; Computer security; Computer science; Civil engineering","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":[0.00009065653,0.0000902478,0.000146569,0.00004963522,0.00001005687,0.00001150227,0.00006202185,0.00004330924,0.0002118278],"category_scores_gemma":[0.00000106071,0.00008702553,0.00004392518,0.0000413209,0.000003548523,0.0002964301,4.544593e-7,0.0001404902,0.00000114372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007449071,"about_ca_system_score_gemma":0.00000394544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005847858,"about_ca_topic_score_gemma":0.001146252,"domain_scores_codex":[0.9993743,0.000003956558,0.0003671231,0.00004398246,0.0001001775,0.0001104923],"domain_scores_gemma":[0.9998349,0.00001710331,0.00002517862,0.00004954715,0.00001278094,0.0000604767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00001263095,0.00001921221,0.05309677,0.00007322814,0.0000360242,0.00006157553,0.001442763,0.9282398,0.0003778399,0.00006268209,0.00008480594,0.01649273],"study_design_scores_gemma":[0.0004968274,0.0000192142,0.9820147,0.0001034126,0.00001368278,0.000021665,0.0001132723,0.01392823,0.0001295487,0.000002042995,0.003050743,0.0001066482],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915286,0.0007518141,0.007187572,0.00003132841,0.0001831411,0.00003524898,0.000005614922,0.00004022814,0.0002364933],"genre_scores_gemma":[0.9980706,0.0007147662,0.001101872,0.00001092791,0.00006516733,0.000001231782,0.000004649448,0.0000174202,0.00001335109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9289179,"threshold_uncertainty_score":0.3548798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002909695544040052,"score_gpt":0.1906834806344315,"score_spread":0.1877737850903914,"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."}}