{"id":"W1503141122","doi":"10.1002/jae.1053","title":"The price consideration model of brand choice","year":2009,"lang":"en","type":"preprint","venue":"Journal of Applied Econometrics","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; National Science Foundation","keywords":"Multinomial logistic regression; Nested logit; Flexibility (engineering); Econometrics; Consumer choice; Discrete choice; Mixed logit; Economics; Advertising; Logistic regression; Microeconomics; Business; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001824418,0.000221012,0.000529019,0.001141908,0.0001703936,0.0005530319,0.0005002097,0.0001748097,0.00004552626],"category_scores_gemma":[0.0003536322,0.0001749532,0.0002283422,0.000612006,0.00004984099,0.0003589462,0.0002900473,0.0006711415,0.000007500853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000066965,"about_ca_system_score_gemma":0.0001520871,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002505038,"about_ca_topic_score_gemma":0.00001905514,"domain_scores_codex":[0.9981781,0.000007426366,0.001113524,0.0001926962,0.000301273,0.0002069808],"domain_scores_gemma":[0.9960179,0.0004804207,0.002734015,0.0003060025,0.000440786,0.00002088145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001035326,0.000705121,0.03667345,0.00170228,0.0008353149,0.00001436871,0.0004242731,0.2503428,0.001145896,0.04783164,0.01838455,0.640905],"study_design_scores_gemma":[0.008119534,0.0001118657,0.1686373,0.0007417722,0.003946203,0.00003418371,0.0007632907,0.2846306,0.001001731,0.3637863,0.1651013,0.003125986],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791083,0.001861028,0.009597426,0.0009433026,0.00143081,0.0006198187,0.000009359152,0.00003074098,0.1063992],"genre_scores_gemma":[0.9971848,0.0005557325,0.001004896,0.0003949261,0.0007688009,0.00000416093,0.000005990271,0.00002253498,0.00005813806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.637779,"threshold_uncertainty_score":0.7134385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05459346155286315,"score_gpt":0.2478485064385454,"score_spread":0.1932550448856823,"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."}}