{"id":"W6979744855","doi":"","title":"Accountability: A Canadian municipal examination on the impact of vehicle and equipment training programs on preventable collisions with municipal fleet assets","year":2022,"lang":"en","type":"article","venue":"Scholarship@Western (Western University)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Collision; Work (physics); Government (linguistics); Survey data collection; Local government","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004432517,0.000365909,0.0004964136,0.006533791,0.008900647,0.002373863,0.002677533,0.0008063794,0.003784156],"category_scores_gemma":[0.02355378,0.0006189918,0.001046236,0.01311925,0.001220292,0.001156705,0.003264421,0.001117896,0.0003946571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05874824,"about_ca_system_score_gemma":0.1562839,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958538,"about_ca_topic_score_gemma":0.9975185,"domain_scores_codex":[0.9908729,0.0006875468,0.000497375,0.0003927508,0.004853682,0.002695661],"domain_scores_gemma":[0.9661304,0.001676193,0.006366741,0.0008315968,0.02086647,0.004128624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000783824,0.00009861677,0.9511338,0.0002347456,0.000064104,0.0001506759,0.004541605,0.0002084892,0.0001559171,0.0006337139,0.01887433,0.02382564],"study_design_scores_gemma":[0.000004458491,0.00001968454,0.9873902,0.00006264906,0.00001752654,0.00002740246,0.004018028,0.0001198359,0.00003141696,0.00002343169,0.008268975,0.00001642987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309157,0.001665647,0.0004418303,0.008527515,0.0001443925,0.0006944904,0.01737056,0.00008247344,0.04015737],"genre_scores_gemma":[0.9870415,0.001599635,0.0006064379,0.000818766,0.00004272599,0.0002027463,0.004701442,0.00003381874,0.00495298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05874824,"threshold_uncertainty_score":0.4262503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09668028292774648,"score_gpt":0.2989588599356965,"score_spread":0.20227857700795,"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."}}