{"id":"W295149922","doi":"","title":"Synthesizing Population for Agent-Based Microsimulation Modeling in Atlantic Canada","year":2015,"lang":"en","type":"article","venue":"Transportation Research Board 94th Annual MeetingTransportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Population; Computer science; Weighting; Econometrics; Operations research; Economics; Engineering; Transport engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.01119609,0.0003594831,0.0005059791,0.001525979,0.001546637,0.000260657,0.0005676044,0.0003994858,0.00006057836],"category_scores_gemma":[0.001650509,0.0004232744,0.000156431,0.002818135,0.0003259722,0.001003972,0.00000433129,0.0009756283,0.00001385321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350808,"about_ca_system_score_gemma":0.004349999,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9096573,"about_ca_topic_score_gemma":0.978521,"domain_scores_codex":[0.9894508,0.00161248,0.001429677,0.001023412,0.004647326,0.001836351],"domain_scores_gemma":[0.9916384,0.00189677,0.0002416821,0.0003706441,0.005002746,0.0008498169],"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":[0.001282783,0.0001912638,0.334633,0.0002623561,0.00002766337,0.00005383668,0.01880788,0.6355416,0.0001112473,0.005719357,0.002233231,0.001135835],"study_design_scores_gemma":[0.01010976,0.0007216052,0.544902,0.00130974,0.0001270588,2.815492e-7,0.08914772,0.2920044,0.0004633481,0.005632696,0.05349387,0.002087536],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.967186,0.0001527289,0.02429302,0.003577057,0.0004124964,0.003097364,0.0003555735,0.0002513326,0.0006743993],"genre_scores_gemma":[0.989109,0.00006792763,0.00677469,0.0001265603,0.0002386982,0.0005697036,0.002691951,0.00009279373,0.0003286771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3435371,"threshold_uncertainty_score":0.9998219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143581267491747,"score_gpt":0.4060807760266452,"score_spread":0.2624995085348982,"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."}}