{"id":"W621476703","doi":"","title":"ERP: DOES ONE SIZE FIT IT ALL?","year":2000,"lang":"en","type":"article","venue":"Traffic Technology International","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electronic toll collection; Road pricing; Toll; Scheme (mathematics); Business; Norwegian; Emerging technologies; Transport engineering; Computer science; Marketing; Process management; Engineering; Traffic congestion","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001506807,0.00007614235,0.00008766931,0.0001351706,0.0001678399,0.00003590666,0.0003560291,0.0002088734,0.0109113],"category_scores_gemma":[0.0001051346,0.00007135318,0.00003799379,0.0002360752,0.000239666,0.0001374007,0.000004725443,0.0001549002,0.0002834601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005461215,"about_ca_system_score_gemma":0.00005648109,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006077295,"about_ca_topic_score_gemma":0.00058605,"domain_scores_codex":[0.9991175,0.00002105973,0.0001893583,0.0001983484,0.0002856241,0.0001881377],"domain_scores_gemma":[0.9996532,0.00007204535,0.00005183863,0.0000988858,0.00008312403,0.00004087519],"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":[0.000302116,0.001229697,0.03066569,0.00001674376,0.0006928032,0.000101987,0.04068739,0.07887882,0.000307992,0.2610715,0.04536802,0.5406772],"study_design_scores_gemma":[0.000855113,0.00004834491,0.01098613,0.00004006944,0.00003537055,0.000004821563,0.002931473,0.001855953,0.0001485222,0.002459828,0.980327,0.0003074112],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8574006,0.000025668,0.0002984964,0.0902482,0.0005506081,0.00014217,0.00003308273,0.001087089,0.05021406],"genre_scores_gemma":[0.9753791,0.0001410603,0.003107615,0.0005839519,0.0001253925,0.0000190138,0.00003282284,0.000007992388,0.02060305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9349589,"threshold_uncertainty_score":0.9899929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771630877742884,"score_gpt":0.2986634929135049,"score_spread":0.2809471841360761,"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."}}