{"id":"W2140281966","doi":"10.5267/j.msl.2012.06.006","title":"Assessing the effects of removing of energy subsidies on urban passenger transportation within the city of Tehran based on a system dynamics approach","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Energy (signal processing); Transport engineering; Business; System dynamics; Environmental economics; Dynamics (music); Passenger transport; Computer science; Economics; Psychology; Engineering; Statistics; Mathematics; Artificial intelligence","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":[0.0008678256,0.0001547607,0.0001875203,0.0002017095,0.0002049879,0.00002602364,0.0003836534,0.00002866161,0.000001747519],"category_scores_gemma":[0.00001434855,0.00009620025,0.00008749341,0.000514232,0.0006075066,0.0002507934,0.000009532114,0.00007617767,2.890875e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008702058,"about_ca_system_score_gemma":0.000005934104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005957843,"about_ca_topic_score_gemma":0.00008786629,"domain_scores_codex":[0.9982896,0.0001198784,0.0003661045,0.0002176188,0.000751804,0.0002550294],"domain_scores_gemma":[0.9988964,0.0002049081,0.0004025893,0.0004477232,0.00001311382,0.00003529183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000327287,0.0002620731,0.0813678,0.0009874565,0.00008618578,0.000002532693,0.003941353,0.2851279,0.01928846,0.6081854,0.00003107591,0.0006870088],"study_design_scores_gemma":[0.0004964627,0.0000710654,0.9221054,0.0003505941,0.0001807463,2.373392e-7,0.005794751,0.02260722,0.04807084,0.00004421024,0.00007792057,0.000200601],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735718,0.00001928139,0.01803828,0.0004170189,0.0002079172,0.0001873759,0.000003549001,0.0000254409,0.007529285],"genre_scores_gemma":[0.998603,0.000004819537,0.0006158398,0.0006583582,0.00002679561,0.00003125232,0.00001326089,0.00001345002,0.000033264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8407375,"threshold_uncertainty_score":0.3922932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495525373039122,"score_gpt":0.2174126157252517,"score_spread":0.2079170903522125,"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."}}