{"id":"W2105308657","doi":"10.3141/1831-11","title":"Dynamic Modeling of Household Automobile Transactions","year":2003,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Dispose pattern; Microsimulation; Database transaction; Consistency (knowledge bases); Process (computing); Dynamic pricing; Travel behavior; Computer science; Automotive industry; Operations research; Econometrics; Economics; Microeconomics; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003608102,0.0003552505,0.0006501947,0.001313671,0.0006845676,0.00006966744,0.00098678,0.0002909706,0.0008949796],"category_scores_gemma":[0.0001061523,0.0002889756,0.0007327227,0.002287826,0.0008220782,0.0007154242,0.000002105423,0.002038623,0.00001668543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002611237,"about_ca_system_score_gemma":0.0006094991,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01637608,"about_ca_topic_score_gemma":0.07285593,"domain_scores_codex":[0.9913233,0.00132446,0.002159777,0.0004818847,0.003681612,0.001028982],"domain_scores_gemma":[0.9958481,0.0007162584,0.0005911664,0.0007284349,0.00168633,0.0004297298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0007883671,0.0009124642,0.02297043,0.0003919392,0.0004588217,0.00007249361,0.005239155,0.9095783,0.01224305,0.04403064,0.0003639426,0.002950427],"study_design_scores_gemma":[0.01128844,0.002533909,0.7780389,0.001555349,0.0007738536,0.000007578792,0.01926895,0.01997628,0.03776998,0.04812027,0.07895554,0.001710949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745525,0.0004404974,0.02163034,0.0006634655,0.0005516341,0.0006560829,0.0001359522,0.00005226448,0.001317309],"genre_scores_gemma":[0.993073,0.002237533,0.003056326,0.00003819175,0.00004767923,0.00008979102,0.0000246351,0.0001083786,0.001324404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.889602,"threshold_uncertainty_score":0.9999563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07362601871520315,"score_gpt":0.3447081517831573,"score_spread":0.2710821330679542,"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."}}