{"id":"W1507988545","doi":"10.3141/1966-16","title":"Virtual Commercial Vehicle Compliance Stations: A Review of Legal and Institutional Issues","year":2006,"lang":"en","type":"review","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Safety Systems Engineering in Autonomy","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; Law enforcement; Business; Compliance (psychology); Transport engineering; Key (lock); Computer security; Engineering; Computer science; Political science; Law","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":[0.007437502,0.0005896091,0.001588705,0.008973433,0.0006846302,0.001660607,0.001441193,0.001481119,0.001944065],"category_scores_gemma":[0.01297034,0.0007645605,0.0006976906,0.01278186,0.001346857,0.002722232,0.000734847,0.001116653,0.0008804523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571985,"about_ca_system_score_gemma":0.0094413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035076,"about_ca_topic_score_gemma":0.02309914,"domain_scores_codex":[0.9966435,0.0009225073,0.0006372026,0.0002672309,0.001423561,0.0001060389],"domain_scores_gemma":[0.9819927,0.01015341,0.00216313,0.0002917297,0.005108619,0.000290451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004466379,0.00006247621,0.0006785135,0.05624915,0.00009308174,0.0002101836,0.0003732698,0.000292233,0.000393127,0.003366112,0.02185329,0.9163839],"study_design_scores_gemma":[0.00002167196,0.0002274763,0.005565681,0.06550594,0.0003650896,0.001019579,0.000744103,0.0001696149,0.000540362,0.001105823,0.9246992,0.0000354266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001420834,0.9986577,0.00007876312,0.0003332187,0.00007178771,0.00001198341,0.00001217198,0.000002810739,0.0006893534],"genre_scores_gemma":[0.001494863,0.9980124,0.0001806724,0.0001223333,0.00003979503,0.00001272643,0.00001714698,0.000001163086,0.0001188415],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01035076,"threshold_uncertainty_score":0.0393337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1390603938872667,"score_gpt":0.4144676730957073,"score_spread":0.2754072792084405,"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."}}