{"id":"W1511599769","doi":"","title":"Sensitivity analysis of traffic model zone aggregation","year":2008,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Merge (version control); Benchmark (surveying); Computer science; Stochastic modelling; Centroid; Econometrics; Geography; Mathematics; Statistics; Cartography; Artificial intelligence; Information retrieval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004854659,0.0004564017,0.001469427,0.001026482,0.0002372626,0.000005333624,0.0009175475,0.0008204668,0.0004541703],"category_scores_gemma":[0.0000770667,0.0006057731,0.001011395,0.002087514,0.001777746,0.0003435642,0.000240156,0.0007636115,0.00002863988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003550082,"about_ca_system_score_gemma":0.0001532529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003886714,"about_ca_topic_score_gemma":0.00296353,"domain_scores_codex":[0.9972672,0.000127585,0.0006200451,0.0006348784,0.0008071887,0.0005430928],"domain_scores_gemma":[0.9974892,0.0004079436,0.0003726309,0.0009706994,0.0004188233,0.0003407621],"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":[0.002138022,0.00283764,0.01047727,0.0008137408,0.004477982,0.002341916,0.001204458,0.8777192,0.07304405,0.006319581,0.01371275,0.004913365],"study_design_scores_gemma":[0.005422144,0.0007679379,0.140284,0.0004425572,0.008656315,0.0001730447,0.0008832464,0.8316357,0.004674011,0.000262897,0.00431688,0.002481234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6277695,0.0002269987,0.3608457,0.00008408019,0.00005543196,0.0004035226,0.000506381,0.0004393457,0.009669045],"genre_scores_gemma":[0.9776016,0.001195568,0.02021179,0.00001130635,0.00001419932,1.106856e-7,0.000108077,0.0000357621,0.0008215124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3498322,"threshold_uncertainty_score":0.9996394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02067503534718226,"score_gpt":0.1782668446196503,"score_spread":0.157591809272468,"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."}}