{"id":"W2343817833","doi":"","title":"Exploiting the Elicited Confidence Ratings of SP Surveys for Better Estimates of Choice Model Parameters: the Case of Commuting Mode Choices in a Multimodal Transportation System","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Endogeneity; Econometrics; Mode choice; Context (archaeology); Preference; Statistics; Discrete choice; Revealed preference; Mode (computer interface); Goodness of fit; Choice set; Economics; Heteroscedasticity; Mathematics; Computer science; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0137619,0.0002825517,0.0007355838,0.0006934575,0.0004112505,0.00004288886,0.000638235,0.0002027754,0.0000376597],"category_scores_gemma":[0.0008842435,0.0001999646,0.0002567167,0.0008496714,0.001010081,0.0007795289,0.0000103082,0.0005112916,0.000006462429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179871,"about_ca_system_score_gemma":0.0001207316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04148005,"about_ca_topic_score_gemma":0.0266378,"domain_scores_codex":[0.9946958,0.0006261583,0.002650743,0.0006921776,0.0005408668,0.0007942115],"domain_scores_gemma":[0.9914456,0.005811385,0.001158357,0.0005442853,0.0009110206,0.0001293283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005227317,0.0002563831,0.8670588,0.001499674,0.0001506787,0.00001501146,0.02064344,0.06317746,0.007324426,0.03690074,0.00004294576,0.002407677],"study_design_scores_gemma":[0.003112842,0.0004781384,0.8262339,0.0009185245,0.00004349758,9.725961e-7,0.02193283,0.1283348,0.01216618,0.006384763,0.000031908,0.0003615732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9600909,0.0001433307,0.0343022,0.0008337941,0.00005101668,0.002063131,0.002394323,0.00002715569,0.00009413766],"genre_scores_gemma":[0.9936889,0.0001121973,0.005217174,0.00002000399,0.00003161464,0.000643169,0.0001913542,0.00005584382,0.00003977843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06515738,"threshold_uncertainty_score":0.9911235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1836445941401688,"score_gpt":0.3608531795501344,"score_spread":0.1772085854099655,"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."}}