{"id":"W4390698500","doi":"10.1136/ip-2023-044974","title":"Comparison of the number of pedestrian and cyclist injuries captured in police data compared with health service utilisation data in Toronto, Canada 2016–2021","year":2024,"lang":"en","type":"article","venue":"Injury Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Hospital for Sick Children; Institute for Clinical Evaluative Sciences; York University","funders":"Canadian Institutes of Health Research","keywords":"Pedestrian; Occupational safety and health; Medicine; Injury prevention; Medical emergency; Poison control; Suicide prevention; Emergency department; Human factors and ergonomics; Service (business); Environmental health; Transport engineering; Engineering; Business; Nursing","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":[0.0002881195,0.00009340847,0.0002169546,0.00002491284,0.00002144828,0.00001266071,0.0003003809,0.00004129825,0.00002390719],"category_scores_gemma":[0.000006500939,0.00007425112,0.000007964315,0.0002210601,0.00002511743,0.0003390989,0.000133756,0.0001212415,3.240485e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001911104,"about_ca_system_score_gemma":0.0004202373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8182322,"about_ca_topic_score_gemma":0.9892861,"domain_scores_codex":[0.9990599,0.00008804408,0.0003877891,0.0001861232,0.0001534855,0.0001247011],"domain_scores_gemma":[0.999285,0.00003587941,0.00007205228,0.000561671,0.00001607132,0.00002927162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000647543,0.0005794553,0.8129449,0.008345599,0.0003850764,0.000003187072,0.02599583,0.01411949,0.0008791206,0.001079299,0.03930344,0.09571708],"study_design_scores_gemma":[0.0005297202,0.00002658595,0.8767422,0.001195131,0.00003771813,0.000002870228,0.004616791,0.1132312,0.0001744709,0.00003923383,0.003231972,0.0001720882],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955645,0.001884707,0.0002280453,0.0003315055,0.00028014,0.0002988351,0.0008662993,0.0000212854,0.0005247286],"genre_scores_gemma":[0.9990455,0.00008310316,0.0001891605,0.00001109979,0.00002499218,0.00000316977,0.000609178,0.0000113448,0.00002248854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1710539,"threshold_uncertainty_score":0.3027873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03217970083077805,"score_gpt":0.3413098174122783,"score_spread":0.3091301165815002,"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."}}