{"id":"W1563478981","doi":"10.1002/atr.1245","title":"Trial and error method for optimal tradable credit schemes: The network case","year":2013,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convergence (economics); Function (biology); Computer science; Mathematical optimization; Scheme (mathematics); Economics; Econometrics; Mathematics; Macroeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008894312,0.00008572792,0.0001707644,0.00003700668,0.0004585171,0.00005964338,0.00008046458,0.00007243282,0.00004615383],"category_scores_gemma":[0.00008165622,0.00006343857,0.00009252116,0.0001824785,0.00006388379,0.0007417339,3.669689e-7,0.0001299777,4.913703e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001975907,"about_ca_system_score_gemma":0.0001097553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001349322,"about_ca_topic_score_gemma":0.0004397775,"domain_scores_codex":[0.9989329,0.00008235316,0.0004624765,0.0001033069,0.0002367397,0.0001822266],"domain_scores_gemma":[0.9987213,0.0003787849,0.0004095191,0.00005280435,0.0003433689,0.00009423597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005889236,0.00009696265,0.0005703997,0.00004112342,0.0001091368,0.00006339811,0.03690202,0.9154269,0.000169792,0.007766347,0.002401822,0.03056287],"study_design_scores_gemma":[0.1650076,0.006122071,0.06163812,0.0006658849,0.00244801,0.0004430269,0.2580574,0.02878482,0.0007872405,0.02398297,0.4500305,0.002032277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5929681,0.0003719552,0.4031135,0.001791914,0.000809254,0.0008363065,0.0000136626,0.00002403917,0.00007123408],"genre_scores_gemma":[0.61593,0.0001768329,0.3827485,0.0001074306,0.0007758238,0.00004931081,0.00002497447,0.00001402517,0.0001730944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.886642,"threshold_uncertainty_score":0.3526589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02545925485623112,"score_gpt":0.3368817686599219,"score_spread":0.3114225138036908,"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."}}