{"id":"W4402405605","doi":"10.23889/ijpds.v9i5.2799","title":"Cycling and Pedestrian Injuries in the Region of Peel, Ontario; An application of linked administrative health data to enhance local road safety and health service delivery, through an Applied Health Research Question (AHRQ)","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Health services; Pedestrian; Business; Occupational safety and health; Cycling; Service (business); Service delivery framework; Environmental health; Engineering; Medicine; Geography; Marketing","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":[0.0009452727,0.0002917295,0.0002073949,0.0018699,0.001581492,0.001013043,0.0008754351,0.0002535141,0.002037414],"category_scores_gemma":[0.003870402,0.0003503273,0.0004439728,0.004426623,0.0004092106,0.0004551109,0.001229389,0.0003213695,0.0003231406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01585457,"about_ca_system_score_gemma":0.03091547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9803075,"about_ca_topic_score_gemma":0.992253,"domain_scores_codex":[0.9985906,0.0001369839,0.0001433357,0.0001922227,0.0006467205,0.0002900611],"domain_scores_gemma":[0.9971479,0.0002289977,0.0009316735,0.0001894972,0.001176002,0.000326019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000673184,0.00003829586,0.9826517,0.0002323534,0.00005441341,0.0001105657,0.001663563,0.0002268069,0.0002408457,0.0002354531,0.005452398,0.009026342],"study_design_scores_gemma":[0.00000759314,0.00001498327,0.9947723,0.0000509365,0.00001392026,0.00001716737,0.0008117394,0.0002762215,0.00005355871,0.00002165371,0.003954978,0.000005048252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.913328,0.0006388914,0.000777856,0.0007387725,0.00001769846,0.0007222493,0.0765565,0.00003999256,0.007180003],"genre_scores_gemma":[0.9657621,0.0007462698,0.001870281,0.00021585,0.00002270881,0.0009401303,0.02587641,0.00001471703,0.00455144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01969248,"threshold_uncertainty_score":0.1150334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2522238423737073,"score_gpt":0.5038469445882638,"score_spread":0.2516231022145566,"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."}}