{"id":"W133325607","doi":"","title":"Modeling transport networks with design pattern: application to hybrid traffic simulations","year":2007,"lang":"en","type":"article","venue":"international conference on Modelling and simulation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Cellular automaton; Computer science; Representation (politics); Grid; Transport network; Node (physics); Distributed computing; Macro; Scale (ratio); Theoretical computer science; Artificial intelligence; Engineering; Computer network","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":[0.0006891894,0.0005468743,0.0005864003,0.0005623056,0.000407219,0.0008579285,0.0008812664,0.001217197,0.001662388],"category_scores_gemma":[0.002265843,0.0004770074,0.0007136532,0.000679061,0.0007876228,0.0006164637,0.0008002513,0.0005705288,0.0001744916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008766861,"about_ca_system_score_gemma":0.0005893869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007058396,"about_ca_topic_score_gemma":0.004121633,"domain_scores_codex":[0.9997676,0.000114831,0.00001413921,0.00003218233,0.00004951166,0.0000217432],"domain_scores_gemma":[0.9991865,0.0005114811,0.00007098588,0.00009756939,0.00009485699,0.00003865985],"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":[0.000007978915,0.000009368612,0.0003909603,0.00001099523,0.00000762231,0.00002878413,0.00002559994,0.9912215,0.000393561,0.005199724,0.00005953692,0.002644294],"study_design_scores_gemma":[0.000004278225,0.000004016645,0.00003509063,0.000001378682,0.000001422864,0.000005162538,0.000003358107,0.9966853,0.00009818798,0.002928623,0.0002317272,0.000001483441],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07046101,0.00009717519,0.9245045,0.0001912188,0.00003081988,0.00008309045,0.0001198222,0.0004448578,0.004067563],"genre_scores_gemma":[0.6575296,0.000193585,0.3392458,0.00005186705,0.00001982355,0.0004406015,0.0001783489,0.0001398378,0.002200504],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007058396,"threshold_uncertainty_score":0.01403457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06665067689109186,"score_gpt":0.3228076725955885,"score_spread":0.2561569957044967,"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."}}