{"id":"W2744872415","doi":"","title":"Estimation strategies for complex discrete choice models","year":2009,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Computer Research Institute of Montréal","funders":"","keywords":"Computer science; Estimation; Discrete choice; Econometrics; Artificial intelligence; Machine learning; Mathematics; Economics","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":[0.006392623,0.0009912674,0.001776841,0.001143307,0.0004768971,0.00239362,0.001773953,0.001764754,0.009509641],"category_scores_gemma":[0.03460798,0.001400987,0.001123365,0.001206243,0.001487919,0.003286478,0.001964081,0.002559348,0.0007872229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346471,"about_ca_system_score_gemma":0.0008854711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005127031,"about_ca_topic_score_gemma":0.002701614,"domain_scores_codex":[0.997817,0.001387691,0.00009330756,0.0003139448,0.0002701162,0.0001178993],"domain_scores_gemma":[0.9604911,0.03710753,0.0008769091,0.000633009,0.0006287406,0.0002627145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001492531,0.0001149285,0.001905335,0.0002633065,0.0002516304,0.0001695606,0.000225002,0.5854498,0.0005455329,0.3611234,0.00228128,0.04752099],"study_design_scores_gemma":[0.00002677141,0.00002352287,0.0002572801,0.0000297681,0.00002217211,0.0000174642,0.00001706534,0.8987716,0.000172318,0.09989351,0.0007540224,0.0000145183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01329832,0.0008104818,0.9825363,0.001000829,0.00004404469,0.00005578411,0.0001080058,0.00008881791,0.00205744],"genre_scores_gemma":[0.7614376,0.00261022,0.2140598,0.0004959751,0.0003296263,0.0006391387,0.0005850113,0.0001601282,0.01968245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009509641,"threshold_uncertainty_score":0.03380787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04275833426290641,"score_gpt":0.2691664434301475,"score_spread":0.226408109167241,"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."}}