{"id":"W4233485808","doi":"10.22215/etd/2009-09089","title":"A comparison of neural networks and statistical methods in tour-based travel demand modeling","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00579294,0.0008312276,0.0008066361,0.001713781,0.0003592816,0.001412607,0.001077161,0.001199413,0.001858461],"category_scores_gemma":[0.01524587,0.0005219409,0.0008676275,0.001947031,0.000420084,0.002099199,0.0008395388,0.001237141,0.0003129811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530461,"about_ca_system_score_gemma":0.001261272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03526728,"about_ca_topic_score_gemma":0.02283817,"domain_scores_codex":[0.9982733,0.001171649,0.0001195034,0.0001687806,0.000200914,0.00006598163],"domain_scores_gemma":[0.9864959,0.01206369,0.0002644144,0.0002566807,0.0008188307,0.0001004442],"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":[0.000305668,0.0001597169,0.003331727,0.0001002634,0.000238188,0.00002301357,0.00005240631,0.8630245,0.0001528414,0.007536989,0.001113957,0.1239608],"study_design_scores_gemma":[0.000003928022,0.00001192772,0.0002687099,0.000007095486,0.000007110212,0.000002234843,0.000006527243,0.9980904,0.00002859672,0.001466,0.0001046287,0.000002822989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1281444,0.006812503,0.8539487,0.002478026,0.0003446845,0.0001688053,0.0005433152,0.000626694,0.006932899],"genre_scores_gemma":[0.764303,0.00393875,0.2256726,0.000359884,0.0003251426,0.000298663,0.0006866201,0.0001620018,0.004253312],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03526728,"threshold_uncertainty_score":0.07012403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560125572480073,"score_gpt":0.4378273653685518,"score_spread":0.3818148081205445,"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."}}