{"id":"W3124595896","doi":"10.1207/153276603768344807","title":"Preference Construction and Persistence in Digital Marketplaces: The Role of Electronic Recommendation Agents","year":2003,"lang":"en","type":"article","venue":"Journal of Consumer Psychology","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Preference; Key (lock); Persistence (discontinuity); Computer science; Recommender system; Business; Advertising; Microeconomics; World Wide Web; Economics; Computer security; Engineering","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":[0.0006481099,0.00008277141,0.0001622364,0.0002120095,0.00004463012,0.00005865081,0.0001150571,0.00004672844,0.0002612462],"category_scores_gemma":[0.000162066,0.00006305266,0.00004351278,0.0002160921,0.0001144533,0.0005616382,0.00002070813,0.0002157152,0.00000385321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001362067,"about_ca_system_score_gemma":0.00003114724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001359256,"about_ca_topic_score_gemma":0.00002851993,"domain_scores_codex":[0.9992458,0.00004209601,0.0003636433,0.000104353,0.00009089374,0.0001531888],"domain_scores_gemma":[0.9992268,0.0001066519,0.0004411457,0.00008964032,0.0001271877,0.000008540525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001376431,0.00004708803,0.7884789,0.00001334667,0.00002721195,0.000001513651,0.00005629686,6.977432e-7,0.0003390955,0.001123978,0.0001472955,0.209627],"study_design_scores_gemma":[0.00238419,0.00007907016,0.6747034,0.0001129201,0.0001979444,0.0004991434,0.002170813,0.000148316,0.0001006204,0.01590518,0.3034462,0.0002521623],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820907,0.0008093968,0.0001282381,0.0002946755,0.0002689382,0.00008528984,7.798741e-7,0.000003640318,0.01631836],"genre_scores_gemma":[0.9994368,0.0002777358,0.00006726718,0.0001687026,0.00002610582,0.000001643204,0.000001113517,0.000005549691,0.00001510261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3032989,"threshold_uncertainty_score":0.2860463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144420913924482,"score_gpt":0.2632754354460246,"score_spread":0.2318312263067797,"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."}}