{"id":"W3123752031","doi":"10.1509/jmkr.42.2.195.62282","title":"Modeling Preferences for Common Attributes in Multicategory Brand Choice","year":2005,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Conceptualization; Product category; Product (mathematics); Premise; Space (punctuation); Econometrics; Function (biology); Mathematics; Marketing; Computer science; Artificial intelligence; Business","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":[0.02310916,0.000119558,0.0002818332,0.0008275693,0.000225825,0.000339674,0.0004481808,0.00007415057,0.0001314365],"category_scores_gemma":[0.005590511,0.0001022273,0.0001052998,0.0004922216,0.0000489194,0.0009326056,0.0001781228,0.0007037377,0.000009964852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007091612,"about_ca_system_score_gemma":0.00007305443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003973285,"about_ca_topic_score_gemma":0.0008991904,"domain_scores_codex":[0.9978446,0.0002177692,0.0006265821,0.000174727,0.000601654,0.0005346962],"domain_scores_gemma":[0.9953266,0.003533975,0.0001922806,0.0001397114,0.0007817133,0.00002573512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001845481,0.0002182752,0.7375073,0.0003726835,0.00002924122,0.00001074801,0.0001074648,0.002700336,0.001033193,0.00007827184,0.001711129,0.2543858],"study_design_scores_gemma":[0.004454856,0.00005993802,0.4910496,0.001210777,0.00009436472,0.00001670373,0.001315025,0.4461465,0.0001106653,0.00208135,0.05298217,0.0004779666],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947385,0.0006923702,0.0002571427,0.001492021,0.0001190514,0.0002519526,9.670104e-7,0.00001330606,0.002434716],"genre_scores_gemma":[0.9980749,0.00008942711,0.0004698275,0.00008026934,0.001138616,0.00001136159,0.00000242819,0.0000198201,0.0001133596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4434462,"threshold_uncertainty_score":0.8009222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.148835230241978,"score_gpt":0.3809068599455477,"score_spread":0.2320716297035698,"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."}}