{"id":"W814701685","doi":"","title":"SHADOW OF A TOLLBOOTH","year":2001,"lang":"fr","type":"article","venue":"World Highways/Routes du Monde","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toll; Toll road; Revenue; Shadow (psychology); Government (linguistics); Finance; Payment; Software deployment; Electronic toll collection; Corporation; General partnership; Business; Transport engineering; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002255122,0.0003709694,0.00044515,0.0005131879,0.00008528416,0.00006088787,0.0004032928,0.0001549217,0.0006451628],"category_scores_gemma":[0.00002505765,0.0004286442,0.0002252931,0.0008425262,0.0001578363,0.000238163,0.0001429368,0.0003204756,0.0002688409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001973226,"about_ca_system_score_gemma":0.00002793693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006203668,"about_ca_topic_score_gemma":0.001044963,"domain_scores_codex":[0.9981368,0.00005108153,0.0005862825,0.0003594002,0.0003048218,0.0005615836],"domain_scores_gemma":[0.9989976,0.00008547614,0.0001238943,0.0005439248,0.00006830182,0.0001808586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003022977,0.0002525886,0.003232402,0.0002793324,0.0002160753,0.0001000414,0.0004893921,0.003695528,0.001089468,0.2302359,0.7242228,0.03615618],"study_design_scores_gemma":[0.0007584279,0.00009173228,0.007400236,0.0003757476,0.000157851,0.00002688255,0.0000815085,0.05423953,0.002555998,0.001351032,0.932485,0.000475978],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03179817,0.02847376,0.1617222,0.01826154,0.009146256,0.0014999,0.0002221857,0.02839342,0.7204826],"genre_scores_gemma":[0.9532509,0.002913944,0.008449835,0.0002785493,0.0005022632,0.00005101407,0.00001989982,0.00008368921,0.03444986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9214528,"threshold_uncertainty_score":0.9998165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0098009526377156,"score_gpt":0.2035529225177249,"score_spread":0.1937519698800093,"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."}}