{"id":"W7002257083","doi":"","title":"Modelling and analysis of traffic networks based on graph transformation","year":2005,"lang":"en","type":"article","venue":"Biblos-e Archivo (Universidad Autónoma de Madrid)","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia y Tecnología","keywords":"Automation; Automotive industry; Graph; Transformation (genetics); Graph theory; Directed graph","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006138731,0.0009824089,0.0006891428,0.001583459,0.0004452619,0.001592783,0.001215127,0.0007562169,0.003206053],"category_scores_gemma":[0.00252148,0.000425506,0.001903378,0.001313249,0.001190238,0.001750779,0.0008748339,0.0009517736,0.0007197267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100548,"about_ca_system_score_gemma":0.000977206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009753655,"about_ca_topic_score_gemma":0.006268298,"domain_scores_codex":[0.9992834,0.0002428769,0.00004172606,0.0001592759,0.0001972226,0.00007550672],"domain_scores_gemma":[0.9990587,0.0005618719,0.000111072,0.0001185492,0.0001147309,0.00003511623],"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":[0.00004277708,0.00003650967,0.0005588506,0.00005609011,0.00003490269,0.0001342027,0.000129875,0.8778504,0.002913274,0.1058253,0.0003931418,0.01202482],"study_design_scores_gemma":[0.000006710245,0.000009236465,0.00008436812,0.000005989912,0.00001341206,0.00002397158,0.00001078895,0.9517789,0.0008754477,0.04558477,0.001601,0.000005424227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01850468,0.00009600048,0.9768197,0.00007441449,0.00002301752,0.00006147495,0.0002070832,0.0007225729,0.00349104],"genre_scores_gemma":[0.6641026,0.000678102,0.3256405,0.00005808923,0.00005298697,0.000281614,0.001123042,0.0006008223,0.007462327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009753655,"threshold_uncertainty_score":0.01939374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01184815085215894,"score_gpt":0.2133301081562202,"score_spread":0.2014819573040613,"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."}}