{"id":"W4402370789","doi":"10.1016/j.trc.2024.104830","title":"Copula-based transferable models for synthetic population generation","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part C Emerging Technologies","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Econometrics; Population; Computer science; Engineering; Economics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.005158754,0.000185034,0.0002647512,0.001576066,0.000574562,0.0004822919,0.0005121494,0.0002250846,0.00007417933],"category_scores_gemma":[0.0006575479,0.0001535155,0.0002016894,0.00223016,0.0001655503,0.0007100817,0.000006370733,0.0003393457,0.00003755858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006054856,"about_ca_system_score_gemma":0.0001008042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001814904,"about_ca_topic_score_gemma":0.0006263386,"domain_scores_codex":[0.9958606,0.0001631398,0.0008545397,0.0008367299,0.001776245,0.0005087602],"domain_scores_gemma":[0.9975513,0.001039164,0.00006659845,0.0005570843,0.0007318406,0.00005402039],"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":[0.00009419416,0.0000945768,0.0007372266,0.0001918141,0.00004410065,0.00001423587,0.0007657568,0.504748,0.004194228,0.2240832,0.009997575,0.2550352],"study_design_scores_gemma":[0.0001819528,0.0001158965,0.0001278674,0.00009893788,0.0000195234,3.642229e-7,0.001130818,0.7806147,0.00243707,0.2063814,0.00873452,0.0001568777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.316317,0.001092723,0.6723909,0.007012439,0.0004404861,0.0008269859,0.0001354669,0.001605745,0.0001782859],"genre_scores_gemma":[0.99176,0.0002444573,0.006542698,0.00001897505,0.00005176045,0.0006094287,0.0004008254,0.00003361406,0.000338242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6754431,"threshold_uncertainty_score":0.6260182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4148958737170944,"score_gpt":0.4809053673997686,"score_spread":0.06600949368267423,"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."}}