{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008827636,0.001292175,0.001138529,0.002704198,0.0006463105,0.001386307,0.001085993,0.001427761,0.002470733],"category_scores_gemma":[0.02754063,0.0006537495,0.002474782,0.002018287,0.0006533017,0.001369974,0.001699601,0.001504615,0.0001325501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001910878,"about_ca_system_score_gemma":0.0006848713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02158004,"about_ca_topic_score_gemma":0.004822567,"domain_scores_codex":[0.9932172,0.004918901,0.0002251638,0.0004696455,0.0006591259,0.0005099021],"domain_scores_gemma":[0.9671189,0.0282027,0.001010065,0.002001415,0.001518927,0.0001480631],"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":[0.0001250169,0.00005563521,0.004275905,0.00007000208,0.000171532,0.00008248339,0.00003437554,0.9906386,0.0005552787,0.001618154,0.0003312799,0.002041784],"study_design_scores_gemma":[0.00001393056,0.0001210241,0.003512794,0.0000228994,0.00009082405,0.00004133525,0.00009488018,0.992023,0.001358411,0.002226935,0.0004631406,0.00003078021],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8961603,0.000813902,0.0864365,0.0006177822,0.000117525,0.0005915999,0.003659679,0.0005928713,0.01100982],"genre_scores_gemma":[0.9937983,0.00009819202,0.004686348,0.00004803998,0.00001309685,0.0001113906,0.0007194667,0.00004634302,0.0004787919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02158004,"threshold_uncertainty_score":0.04668558,"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."}}