{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01139772,0.0006575271,0.0009763141,0.001555619,0.0018998,0.009392958,0.001814566,0.00469216,0.010603],"category_scores_gemma":[0.03163473,0.0003451655,0.0005183396,0.002178767,0.005860719,0.02919315,0.004010756,0.005363505,0.004522443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002107533,"about_ca_system_score_gemma":0.005126192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001253759,"about_ca_topic_score_gemma":0.001504646,"domain_scores_codex":[0.9933001,0.003046189,0.0003645797,0.0005131484,0.00223788,0.0005381904],"domain_scores_gemma":[0.9817052,0.01104379,0.0007977298,0.001016503,0.003384616,0.002052184],"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":[0.0000563105,0.0001206212,0.002804567,0.0009740904,0.00006670375,0.0002981477,0.001306691,0.0005143779,0.0001826424,0.2888335,0.176201,0.5286413],"study_design_scores_gemma":[0.00005502506,0.0002195104,0.002241448,0.00246952,0.000061425,0.001070198,0.006828269,0.0009890272,0.0002290056,0.3464312,0.639342,0.00006342188],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005244584,0.06484032,0.02377889,0.8044899,0.006554171,0.00008189374,0.00009089585,0.0003789723,0.09454037],"genre_scores_gemma":[0.3950265,0.2351274,0.04818509,0.2418071,0.02797503,0.0004937972,0.0002700169,0.0009679252,0.05014709],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01139772,"threshold_uncertainty_score":0.06027764,"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."}}