{"id":"W2061062475","doi":"10.1007/s11116-014-9514-9","title":"A meta-model of vehicle ownership choice parameters","year":2014,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Econometrics; Pooling; Multinomial logistic regression; Constant (computer programming); Economics; Function (biology); Logit; Statistics; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005261089,0.001382508,0.00402282,0.002441343,0.0006741327,0.004418349,0.005586253,0.004653067,0.01766524],"category_scores_gemma":[0.01399494,0.002236067,0.004090625,0.003961134,0.001196687,0.004931277,0.001496509,0.003518689,0.002096446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002912184,"about_ca_system_score_gemma":0.002192848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02775072,"about_ca_topic_score_gemma":0.02203484,"domain_scores_codex":[0.9976817,0.00144458,0.0001059082,0.0004194398,0.0001339676,0.0002144411],"domain_scores_gemma":[0.9867599,0.01123416,0.0005368436,0.0006830801,0.0004896577,0.0002962336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001931599,0.0001222591,0.002470777,0.0001333833,0.0006260884,0.0001119302,0.0000646079,0.9406709,0.0001530622,0.0474258,0.001154077,0.006873938],"study_design_scores_gemma":[0.00009206959,0.00004508418,0.0005320122,0.00003889095,0.0002601343,0.00003915514,0.0000286616,0.9662302,0.00006367933,0.03189413,0.0007525772,0.00002331412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1650398,0.002974554,0.8043988,0.005182317,0.0002542319,0.0001881772,0.008101735,0.0008783232,0.01298217],"genre_scores_gemma":[0.8895107,0.001439114,0.08517376,0.0005932313,0.0002365305,0.0005381878,0.002875895,0.0002367185,0.0193958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02775072,"threshold_uncertainty_score":0.0590961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1115314333452785,"score_gpt":0.3156824070245751,"score_spread":0.2041509736792966,"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."}}