{"id":"W6987909572","doi":"","title":"Virtual Commercial Vehicle Compliance Stations: A Review of Legal and Istitutional Issues ","year":2006,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"California Department of Transportation; U.S. Department of Transportation","keywords":"Software deployment; Enforcement; Key (lock); Compliance (psychology); Law enforcement; Commercial vehicle","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005422424,0.0001536162,0.0002642659,0.00007020545,0.00005180718,0.0001035386,0.0001491248,0.00007965512,0.0001127037],"category_scores_gemma":[0.00001860471,0.0001522384,0.00006010301,0.0002100681,0.0001322827,0.001190781,0.00002945523,0.0001862144,0.0001235493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001163549,"about_ca_system_score_gemma":0.00002456311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001338834,"about_ca_topic_score_gemma":0.000004946085,"domain_scores_codex":[0.9990823,0.00001299864,0.000409273,0.000155993,0.0001573607,0.0001820398],"domain_scores_gemma":[0.999676,0.00003427337,0.0000501895,0.0001579429,0.00002481166,0.00005671351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008589376,0.0004631395,0.266214,0.01242371,0.0001841582,0.0001217987,0.00002776029,0.0003939796,0.001614447,0.6222789,0.05733738,0.03885475],"study_design_scores_gemma":[0.0005054674,0.00006587963,0.0503912,0.002757249,0.00002062498,0.00002925757,0.000009730099,0.0002701536,0.001495754,0.004611181,0.9394665,0.000376947],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8777222,0.0724314,0.003601172,0.002067544,0.0003188293,0.0007642499,0.01269274,0.001773074,0.02862878],"genre_scores_gemma":[0.9977615,0.0006196377,0.000564387,0.0001271052,0.00007524196,0.0000109933,0.0005967985,0.00002991239,0.0002144234],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8821292,"threshold_uncertainty_score":0.6208103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270292692062789,"score_gpt":0.2163649430493524,"score_spread":0.2036620161287245,"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."}}