{"id":"W2542638586","doi":"10.3390/econometrics4040042","title":"Social Networks and Choice Set Formation in Discrete Choice Models","year":2016,"lang":"en","type":"article","venue":"Econometrics","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; University of Alberta","funders":"","keywords":"Choice set; Discrete choice; Set (abstract data type); Consumer choice; Social choice theory; Choice modelling; Econometrics; Computer science; Economics; Microeconomics; Mathematics","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":[0.01389601,0.001000388,0.001563299,0.001650199,0.001376018,0.004019592,0.002069643,0.002349974,0.01091442],"category_scores_gemma":[0.04369548,0.0008764851,0.00150673,0.001795069,0.004678772,0.005789942,0.002766742,0.003535928,0.0007292737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003828191,"about_ca_system_score_gemma":0.001559608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006679474,"about_ca_topic_score_gemma":0.005071272,"domain_scores_codex":[0.9851836,0.01148537,0.0003821857,0.001270119,0.0009411356,0.0007375116],"domain_scores_gemma":[0.9370194,0.05567712,0.003892924,0.001409212,0.0008861593,0.001115225],"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":[0.000102386,0.0001456559,0.004420331,0.00008560429,0.00009776513,0.0001349802,0.0006718735,0.1191965,0.0001317026,0.8653891,0.0005934275,0.009030646],"study_design_scores_gemma":[0.00007907736,0.00005562132,0.001079454,0.00003616901,0.00002591421,0.00004892781,0.0001688556,0.3037366,0.0001030527,0.692883,0.001747141,0.00003624488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2007147,0.001074617,0.7635867,0.005225461,0.0001231928,0.0005261931,0.0007725948,0.0001535706,0.02782293],"genre_scores_gemma":[0.9044902,0.0009829103,0.08203314,0.0003251539,0.0001257814,0.0008976888,0.0003689131,0.00004020569,0.01073593],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01389601,"threshold_uncertainty_score":0.07348996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534092146417514,"score_gpt":0.2385056054204686,"score_spread":0.08509639077871722,"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."}}