{"id":"W2051292336","doi":"10.1016/j.ijhcs.2010.05.005","title":"A study of demographic embodiments of product recommendation agents in electronic commerce","year":2010,"lang":"en","type":"article","venue":"International Journal of Human-Computer Studies","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":156,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ethnic group; Gesture; Product (mathematics); Psychology; Social identity theory; Similarity (geometry); Identity (music); Social psychology; Internet privacy; Applied psychology; Computer science; Sociology; Social group; Artificial intelligence; Aesthetics","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":[0.001484705,0.0001067296,0.0001592997,0.0007651406,0.0009496839,0.001472136,0.0003509384,0.0005732048,0.003592769],"category_scores_gemma":[0.01534256,0.0002102442,0.0001443527,0.000882754,0.0004718868,0.001136877,0.0006468724,0.0007053642,0.0004433943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005291286,"about_ca_system_score_gemma":0.0004040581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009394378,"about_ca_topic_score_gemma":0.01348522,"domain_scores_codex":[0.9993206,0.0003961601,0.00004950789,0.00006782633,0.0001061084,0.00005974127],"domain_scores_gemma":[0.9850248,0.008969727,0.00343468,0.0005722985,0.001012027,0.0009864663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001842092,0.0003829303,0.9819743,0.000007759388,0.0000390013,0.00007666666,0.008713439,0.00009906522,0.0006010521,0.0008896759,0.0001578741,0.006873985],"study_design_scores_gemma":[0.000007129663,0.0001632352,0.9840508,0.000004922318,0.00002604408,0.0001335707,0.01280242,0.001331283,0.000190102,0.0003373231,0.0009407687,0.00001235682],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987239,0.0000241336,0.00008786782,0.0000694484,0.000001745157,0.000004632064,0.00003279288,0.000001142798,0.001054283],"genre_scores_gemma":[0.9993156,0.00002404494,0.0001092565,0.00001482474,0.000003444205,0.000004557482,0.00005434629,0.000001936396,0.0004720065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009394378,"threshold_uncertainty_score":0.01867938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06442110749183015,"score_gpt":0.417273376555136,"score_spread":0.3528522690633059,"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."}}