{"id":"W3016038929","doi":"10.32866/001c.12219","title":"Principles of Least Action in Urban Traffic Flow","year":2020,"lang":"en","type":"article","venue":"Findings","topic":"Traffic control and management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Connection (principal bundle); Action (physics); Traffic flow (computer networking); Flow (mathematics); Transport engineering; Computer science; Engineering; Mathematics; Mechanics; Computer security; Physics; Geometry","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":[0.003138196,0.0006397601,0.0008596654,0.001086591,0.001473766,0.003043647,0.00207339,0.001939606,0.004544243],"category_scores_gemma":[0.005825171,0.0003860144,0.001753311,0.0006427737,0.009020616,0.004805539,0.003104146,0.004019869,0.0006135067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855633,"about_ca_system_score_gemma":0.001756987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002008984,"about_ca_topic_score_gemma":0.001263208,"domain_scores_codex":[0.9967934,0.001304291,0.0001497152,0.0006201866,0.0008031208,0.0003292407],"domain_scores_gemma":[0.9964456,0.002163987,0.000343177,0.0003915685,0.0004171693,0.0002384785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007819834,0.00001558405,0.000206652,0.00004115577,0.000008882202,0.00002246493,0.0001801257,0.008134509,0.0002774388,0.9876346,0.0004869641,0.002983731],"study_design_scores_gemma":[0.000007548132,0.00001812364,0.0001211601,0.00001440123,0.000003791854,0.00001579032,0.00004558418,0.01101708,0.0001368757,0.9866197,0.001992271,0.000007707606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0230551,0.0006192264,0.9089337,0.00536096,0.0001928673,0.00008481723,0.0000800963,0.0001552691,0.06151805],"genre_scores_gemma":[0.8465154,0.0007623416,0.1396046,0.001045162,0.0003196585,0.0004666814,0.00009777053,0.0001542589,0.01103403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004544243,"threshold_uncertainty_score":0.01659656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350041368989011,"score_gpt":0.1999744729601144,"score_spread":0.1764740592702243,"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."}}