{"id":"W4410462350","doi":"10.1007/978-3-031-88042-1_6","title":"Traffic Crash Severity Prediction Using eXplainable AI","year":2025,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Explainable Artificial Intelligence (XAI)","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Crash; Computer science; Artificial intelligence; Operating system","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":[0.0004139036,0.0005481526,0.0003466787,0.0006782351,0.0001784774,0.0007314259,0.0007421941,0.0004326371,0.003742895],"category_scores_gemma":[0.00269562,0.0002610285,0.0006185239,0.000516513,0.0002619577,0.0008154084,0.000438362,0.0008602348,0.0003562049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005343963,"about_ca_system_score_gemma":0.0004024355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01053447,"about_ca_topic_score_gemma":0.01062642,"domain_scores_codex":[0.9998428,0.00005651794,0.000008928521,0.00003727505,0.00003972683,0.00001476921],"domain_scores_gemma":[0.9987871,0.000970559,0.00007099366,0.00007716114,0.00008022256,0.00001392993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005722999,0.00005794896,0.005863943,0.0001038182,0.0001387895,0.0001108446,0.00009054145,0.835859,0.001190675,0.02304373,0.004508959,0.1289745],"study_design_scores_gemma":[0.000003379269,0.000009338694,0.0007326102,0.000008336217,0.00001188948,0.00001140862,0.000007314035,0.9864349,0.0001991143,0.01201746,0.0005598183,0.000004479413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07980718,0.001390647,0.9009854,0.001182887,0.0001284416,0.00006896349,0.001111037,0.001928612,0.01339694],"genre_scores_gemma":[0.8634569,0.0008692721,0.1296371,0.0001165734,0.000086001,0.00008031671,0.001007518,0.00009478,0.004651485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01053447,"threshold_uncertainty_score":0.02094632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04871422867016001,"score_gpt":0.3099438260224731,"score_spread":0.261229597352313,"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."}}