{"id":"W4416428978","doi":"10.12688/f1000research.172231.1","title":"Factors associated with road traffic injury severity among victims retrieved by pre-hospital emergency services in Rwanda","year":2025,"lang":"en","type":"article","venue":"F1000Research","topic":"Trauma and Emergency Care Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Logistic regression; Psychosocial; Injury prevention; Injury Severity Score; Occupational safety and health; Poison control; Road traffic; Health care; Human factors and ergonomics","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":[0.0004790444,0.0002920712,0.0002577972,0.001028025,0.0004141815,0.0006059723,0.0003843941,0.0003013946,0.002159486],"category_scores_gemma":[0.00320094,0.0002959492,0.0003779828,0.0008404652,0.0003203325,0.0004635305,0.0005210216,0.0005473173,0.000256772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002981537,"about_ca_system_score_gemma":0.0005619764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007689074,"about_ca_topic_score_gemma":0.008364709,"domain_scores_codex":[0.9994575,0.0001924661,0.0000790568,0.00005924741,0.00006566683,0.0001459721],"domain_scores_gemma":[0.9987323,0.0002042923,0.0007360225,0.00005202541,0.0001227845,0.000152617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001889747,0.00003619076,0.9984856,0.00001623752,0.00001229124,0.0001197346,0.0001982569,0.00001205,0.00006227344,0.000009455071,0.0001262641,0.0009027441],"study_design_scores_gemma":[0.000001783293,0.0000590767,0.9979635,0.00002563991,0.00001171236,0.0004260716,0.001298087,0.00005220277,0.00002544468,0.000008594515,0.0001252089,0.000002803497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993191,0.0001609447,0.00003359932,0.00008421789,0.000007661207,0.00001607845,0.0001363087,0.000002092227,0.0002400421],"genre_scores_gemma":[0.999518,0.0001883508,0.00003717257,0.0000157152,0.000009375441,0.00001176615,0.0001365783,9.538201e-7,0.00008205133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007689074,"threshold_uncertainty_score":0.01528865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01879385699998974,"score_gpt":0.318521130970051,"score_spread":0.2997272739700612,"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."}}