{"id":"W1991591286","doi":"10.1145/501158.501176","title":"Recommending or persuading?","year":2001,"lang":"en","type":"article","venue":"","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Preference; Product (mathematics); Computer science; Recommender system; Feature (linguistics); Property (philosophy); Inclusion (mineral); Affect (linguistics); Human–computer interaction; Software agent; World Wide Web; Artificial intelligence; Psychology; Microeconomics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002181899,0.00009867478,0.00009673462,0.0001670956,0.0001668698,0.0002351989,0.0001311737,0.00002892474,0.01788716],"category_scores_gemma":[0.00005463676,0.00007506333,0.00004587374,0.0003904951,0.00001209387,0.0006630641,0.00009773576,0.00007341165,0.0006286377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001267443,"about_ca_system_score_gemma":0.000005415104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005192516,"about_ca_topic_score_gemma":0.0002511924,"domain_scores_codex":[0.9993905,0.000003139926,0.0001303715,0.000157665,0.00009656461,0.0002217522],"domain_scores_gemma":[0.9997401,0.00004085808,0.00004501967,0.0001314275,0.0000343822,0.000008250432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009653341,0.00004626025,0.6142704,0.00002968435,0.00001280095,0.00006488081,0.0000334425,8.0395e-7,0.0003552566,0.004480473,0.02570897,0.3549005],"study_design_scores_gemma":[0.0003620952,0.000003787169,0.04375667,0.00002135595,0.00004427175,0.00001545102,0.0004216077,0.0008481618,0.00001565383,0.000258677,0.9540187,0.0002335657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4450625,0.00001987427,0.000361721,0.001402738,0.0004586275,0.00008541475,1.269378e-7,0.0002620478,0.5523469],"genre_scores_gemma":[0.9868344,0.00001440286,0.000200475,0.002678226,0.0005374067,0.000006341339,0.000003116061,0.00001674972,0.009708853],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9283097,"threshold_uncertainty_score":0.9830106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0527873319318871,"score_gpt":0.2752694230042565,"score_spread":0.2224820910723694,"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."}}