{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003356033,0.00005647073,0.00009142494,0.00004552882,0.000007967587,0.000006226297,0.00005907294,0.0000241133,0.00004117003],"category_scores_gemma":[0.000009240243,0.00005931287,0.00002705553,0.0001173249,0.000005636025,0.0000483881,0.00001193457,0.00006375573,0.00002408113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002152001,"about_ca_system_score_gemma":0.000003848051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002382394,"about_ca_topic_score_gemma":0.00002653351,"domain_scores_codex":[0.9996455,0.000003165146,0.0001184966,0.00007390728,0.00006141257,0.00009753736],"domain_scores_gemma":[0.9999042,0.000007198786,0.000009991032,0.00004606987,0.000003812472,0.00002873661],"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":[0.0000229525,0.00002434915,0.0007560981,0.0002428166,0.00002936902,0.000006279115,0.003309119,0.9271185,0.004756603,0.0009273166,0.002536391,0.0602702],"study_design_scores_gemma":[0.001066375,0.0000660119,0.06737924,0.00005413732,0.00001815381,7.533146e-7,0.0003101249,0.7005752,0.001277281,0.000002477974,0.229047,0.0002032531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954463,0.00008930359,0.000610054,0.0002932093,0.000126337,0.0001046367,0.000003825982,0.000186471,0.003139842],"genre_scores_gemma":[0.999617,0.0000155642,0.0001833717,0.00002317825,0.00004822692,0.000006354403,0.000003426518,0.00000931187,0.00009359118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2265434,"threshold_uncertainty_score":0.2418709,"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."}}