{"id":"W2624775521","doi":"10.1016/j.procs.2017.05.366","title":"Baseline Synthesis and Microsimulation of Life-stage Transitions within an Agent-based Integrated Urban Model","year":2017,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Microsimulation; Baseline (sea); Multinomial logistic regression; Population; Computer science; Simulation; Demography; Machine learning; Transport engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005388439,0.0004489429,0.0005962547,0.0003803814,0.000350218,0.0006729265,0.0009336735,0.0006482701,0.004723971],"category_scores_gemma":[0.001556475,0.0003317758,0.0006893156,0.0003460135,0.0003975109,0.0005768712,0.0008452921,0.0006601945,0.0003480071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00125644,"about_ca_system_score_gemma":0.001260207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02389754,"about_ca_topic_score_gemma":0.01238325,"domain_scores_codex":[0.999775,0.00007977121,0.00001164486,0.00005095939,0.00003895781,0.00004359187],"domain_scores_gemma":[0.999427,0.0003015022,0.00006543371,0.00004117331,0.0001319613,0.00003291723],"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":[0.000008409522,0.000005800841,0.0002090932,0.000009201853,0.000004274789,0.000009202687,0.000008956203,0.9967998,0.0001202581,0.002064973,0.00006206233,0.0006979423],"study_design_scores_gemma":[0.000005102235,0.000008692895,0.00009213907,0.000002300198,0.000003796153,0.000002106154,0.000007353842,0.9984269,0.0001036689,0.001010651,0.0003352405,0.000002120868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2560405,0.0003387277,0.7067558,0.0005650673,0.00007759956,0.0002452244,0.003101738,0.0009863608,0.03188909],"genre_scores_gemma":[0.9364787,0.0001708362,0.05607013,0.00007655482,0.00001601855,0.0004706903,0.001145023,0.00009542442,0.005476658],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02389754,"threshold_uncertainty_score":0.04751688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03589288860335187,"score_gpt":0.2928031734263001,"score_spread":0.2569102848229482,"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."}}