{"id":"W4327892680","doi":"10.1080/15389588.2023.2188855","title":"Re: <i>Traffic Injury Prevention</i> paper titled “Injury Patterns in Motor Vehicle Collision-Pediatric Pedestrian Deaths”, https://doi.org/10.1080/15389588.2022.2113783","year":2023,"lang":"en","type":"letter","venue":"Traffic Injury Prevention","topic":"Injury Epidemiology and Prevention","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Pedestrian; Motor vehicle crash; Injury prevention; Poison control; Occupational safety and health; Collision; Human factors and ergonomics; Engineering; Suicide prevention; Medical emergency; Vehicle safety; Crash; Medicine; Forensic engineering; Automotive engineering; Transport engineering; Computer science; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001405955,0.001257848,0.001218884,0.001013922,0.002234232,0.002479689,0.001647164,0.02206943,0.02753044],"category_scores_gemma":[0.01509774,0.0006485024,0.001010934,0.0008696317,0.001111516,0.002409976,0.0007158915,0.01980655,0.02390176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002918185,"about_ca_system_score_gemma":0.001759515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007385047,"about_ca_topic_score_gemma":0.01274087,"domain_scores_codex":[0.9988236,0.0003226585,0.0002006266,0.0001588929,0.0003385521,0.0001556886],"domain_scores_gemma":[0.9958961,0.001662832,0.0003597289,0.0000924382,0.001382787,0.0006061422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002190274,0.00001440688,0.0004228325,0.00003362178,0.000005172738,0.0009075777,0.00002447546,0.00001426495,0.00004018336,0.0001740804,0.9957009,0.002640525],"study_design_scores_gemma":[0.0001094427,0.0000677651,0.004409701,0.0007535731,0.00003959781,0.004253082,0.0005587874,0.0004260497,0.0001825694,0.002179431,0.9869531,0.00006688293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005226731,0.001894405,0.0001062399,0.8996088,0.08739658,0.00004444861,0.0002761666,0.0001031613,0.01004762],"genre_scores_gemma":[0.005818448,0.00385339,0.0002880128,0.7617126,0.1879211,0.00008107103,0.0002303006,0.00006786878,0.04002713],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02753044,"threshold_uncertainty_score":0.09209847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02699742041841106,"score_gpt":0.3176356031254221,"score_spread":0.290638182707011,"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."}}