{"id":"W4388439362","doi":"10.7202/1106605ar","title":"Lateral damage and point of impactin intersection crashes: Implications for injury","year":2023,"lang":"en","type":"article","venue":"Assurances et gestion des risques","topic":"Traffic and Road Safety","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury BC; University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Fender; Crash; Front (military); Intersection (aeronautics); Vehicle type; Forensic engineering; Aeronautics; Engineering; Structural engineering; Transport engineering; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001606271,0.00007825612,0.000105428,0.00009238057,0.00005405227,0.00001827727,0.00004096683,0.00005331318,0.000004751218],"category_scores_gemma":[0.00003780812,0.00007145041,0.00003683966,0.0001533095,0.00004917091,0.0002286414,0.000009733798,0.00006167496,0.000004407002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002616392,"about_ca_system_score_gemma":0.000005535328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003079169,"about_ca_topic_score_gemma":0.00009872732,"domain_scores_codex":[0.9995856,0.00002067544,0.0001523265,0.00009387446,0.00003534658,0.0001122364],"domain_scores_gemma":[0.9996964,0.0001229917,0.00002741966,0.00008163152,0.00004114754,0.00003042871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002283473,0.00008996441,0.09385936,0.001098737,0.0003330221,0.000001429211,0.008092896,0.2624933,0.05343943,0.004315279,0.06954959,0.5064986],"study_design_scores_gemma":[0.0001817291,0.00008516001,0.9580837,0.00007689318,0.00001354235,0.000003504218,0.0001894909,0.03422801,0.003074585,0.001967601,0.001982241,0.0001135807],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908525,0.0001062685,0.005743901,0.001273584,0.0001664125,0.0001571658,0.00009126019,0.0005120847,0.001096808],"genre_scores_gemma":[0.998224,0.0007370169,0.0008428837,0.00001222101,0.00003186832,0.00004015422,0.00003261562,0.00001525634,0.00006395143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8642243,"threshold_uncertainty_score":0.2913663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575373461750076,"score_gpt":0.2892980360757478,"score_spread":0.263544301458247,"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."}}