{"id":"W612594187","doi":"","title":"INTRODUCING VIDEO TOLL COLLECTION","year":2002,"lang":"en","type":"article","venue":"9th World Congress on Intelligent Transport SystemsITS America, ITS Japan, ERTICO (Intelligent Transport Systems and Services-Europe)","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toll; Electronic toll collection; Toll road; Data collection; Transport engineering; Telecommunications; Computer science; Business; Engineering; Medicine; Sociology","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":[0.0008607453,0.0005624353,0.0001988228,0.001035851,0.0005696057,0.001656891,0.00150222,0.0008173516,0.01742461],"category_scores_gemma":[0.002156225,0.000273404,0.0003035059,0.0007343402,0.0007167384,0.002604388,0.001384756,0.001087318,0.002334771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008569289,"about_ca_system_score_gemma":0.0007794935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008652448,"about_ca_topic_score_gemma":0.009988402,"domain_scores_codex":[0.9989164,0.0003910359,0.00002281374,0.0001151811,0.0004433539,0.0001112563],"domain_scores_gemma":[0.9991038,0.0003382929,0.0000343158,0.00008611514,0.0003440059,0.00009341793],"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":[0.000163914,0.0003424037,0.001495358,0.0002828813,0.00002524282,0.0002740236,0.0005469758,0.01235417,0.01187524,0.1279535,0.03291256,0.8117737],"study_design_scores_gemma":[0.0001258971,0.0004278647,0.001950845,0.0002817142,0.00005493415,0.001421641,0.001150864,0.1494275,0.02425651,0.03832861,0.7824221,0.0001514622],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01495419,0.001542729,0.8395531,0.001320657,0.0006848227,0.0003868671,0.0002427965,0.002177259,0.1391376],"genre_scores_gemma":[0.2668113,0.003151496,0.6422793,0.0007270752,0.0005656282,0.0004366644,0.0005832243,0.0004918117,0.08495362],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01742461,"threshold_uncertainty_score":0.05829114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342092833906427,"score_gpt":0.2512920037595253,"score_spread":0.227871075420461,"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."}}