{"id":"W1990805482","doi":"10.1097/ta.0b013e31827d606c","title":"A comparison of injuries, crashes, and outcomes for pediatric rear occupants in traffic motor vehicle collisions","year":2013,"lang":"en","type":"article","venue":"The Journal of Trauma: Injury, Infection, and Critical Care","topic":"Automotive and Human Injury Biomechanics","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Injury Severity Score; Poison control; Odds ratio; Pediatric trauma; Injury prevention; Confidence interval; Cohort; Occupational safety and health; Motor vehicle crash; Pediatrics; Emergency medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003731614,0.0001473091,0.0005300449,0.0002578318,0.0002481727,0.00002557568,0.00006880589,0.0001208091,0.00004389214],"category_scores_gemma":[0.0003966743,0.00009673707,0.0001137503,0.0001782414,0.0001926046,0.0001681355,0.00003237099,0.0003006429,0.000001236256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004960837,"about_ca_system_score_gemma":0.00007817583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000981146,"about_ca_topic_score_gemma":0.00006864775,"domain_scores_codex":[0.9987204,0.00009343585,0.0006362789,0.0001163271,0.0002285361,0.0002050428],"domain_scores_gemma":[0.9984737,0.0004559833,0.0001548162,0.0001242969,0.0006327902,0.0001584001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008958219,0.0006878712,0.9798198,0.0008537874,0.00007860956,0.000002468329,0.006414525,0.00000299943,0.001357257,0.000811689,0.002471863,0.006603302],"study_design_scores_gemma":[0.001670704,0.005139418,0.9861597,0.0001002695,0.0005367665,0.00003662629,0.003593471,0.000218856,0.001036723,0.0009754391,0.0003991012,0.0001328725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997284,0.00129617,0.0001340596,0.0006087886,0.0001664009,0.000421144,0.00005011784,0.00001125666,0.00002809496],"genre_scores_gemma":[0.9991683,0.0003443625,0.0001567336,0.0001228271,0.0001600087,0.000009366424,0.000002951664,0.00001517029,0.00002028963],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006470429,"threshold_uncertainty_score":0.3944823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198203333162845,"score_gpt":0.3624443348393802,"score_spread":0.3304623015077517,"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."}}