{"id":"W3140220815","doi":"10.71781/10340","title":"Traffic prediction and bilevel network design","year":2020,"lang":"en","type":"dissertation","venue":"Open MIND","topic":"Asphalt Pavement Performance Evaluation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Bilevel optimization; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001537544,0.001047604,0.001375053,0.0008491793,0.0005168437,0.002036391,0.001131837,0.001338777,0.004270844],"category_scores_gemma":[0.00653017,0.0007751084,0.001123055,0.001092894,0.0008707175,0.00206587,0.001482883,0.001606679,0.0007038722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009597254,"about_ca_system_score_gemma":0.001458898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006717725,"about_ca_topic_score_gemma":0.004998941,"domain_scores_codex":[0.9992471,0.000302047,0.000042729,0.0001520691,0.0001630976,0.00009302704],"domain_scores_gemma":[0.9977691,0.001549673,0.0001534358,0.0001069966,0.0003480641,0.00007278104],"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":[0.00003133913,0.00001640282,0.0005833249,0.000053657,0.00001917466,0.00002245113,0.0000396841,0.9661515,0.0003068642,0.009902833,0.0002671237,0.02260563],"study_design_scores_gemma":[0.000002264194,0.000008732804,0.00002891537,0.000007202287,0.000002773484,0.00000535707,0.000006573962,0.9938111,0.0001253168,0.005534747,0.0004644539,0.000002610608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009397099,0.0004145342,0.9870063,0.0002533552,0.00005007807,0.00002599193,0.0000484097,0.0002173615,0.0025869],"genre_scores_gemma":[0.5992065,0.002282954,0.3805337,0.0002083292,0.0001319378,0.0003063967,0.0004524098,0.0002996132,0.01657811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006717725,"threshold_uncertainty_score":0.01428741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05819394292187981,"score_gpt":0.2889516559751816,"score_spread":0.2307577130533018,"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."}}