{"id":"W1769021826","doi":"","title":"A Recursive Logit Model for Routing Policy Choice","year":2015,"lang":"en","type":"article","venue":"","topic":"Game Theory and Voting Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Logit; Econometrics; Mixed logit; Economics; Logistic regression; Routing (electronic design automation); Machine learning","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":[0.0009326616,0.0000926506,0.0002349387,0.0001169469,0.00005934613,0.00004573835,0.0001644607,0.00007262555,0.00001716817],"category_scores_gemma":[0.001169159,0.00009923829,0.00007802658,0.0001234448,0.0000203993,0.0001335095,0.00003256969,0.00005744605,0.0003618721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009925812,"about_ca_system_score_gemma":0.00003815515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004487245,"about_ca_topic_score_gemma":0.00002489332,"domain_scores_codex":[0.99913,0.000009226266,0.0003428683,0.0002392865,0.0000158717,0.0002627301],"domain_scores_gemma":[0.9993649,0.00009260077,0.0001945691,0.0002006698,0.00004621981,0.0001010073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001030719,0.0000179537,0.00293656,0.000009722237,0.00001291093,1.104204e-7,0.0009983358,0.002054412,0.000002245835,0.991716,0.002081742,0.0001596939],"study_design_scores_gemma":[0.0007639674,0.00006862419,0.0001260831,0.0000117056,0.000002726842,0.000002503201,0.000286739,0.3284617,0.00004389164,0.6543869,0.01562844,0.0002167206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.097357,0.0003260277,0.5640697,0.002454866,0.0005792768,0.00058724,0.0001434893,0.0001762756,0.3343061],"genre_scores_gemma":[0.9725045,0.000001850617,0.002436459,0.0004770952,0.0003647176,0.00002986241,0.000004257288,0.00001784215,0.02416341],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8751475,"threshold_uncertainty_score":0.4651254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1857773199755309,"score_gpt":0.2996714897580311,"score_spread":0.1138941697825002,"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."}}