{"id":"W1993060669","doi":"10.1145/2389376.2389389","title":"Recommendation agents that boost performance","year":2010,"lang":"en","type":"article","venue":"","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Computer science; Recommender system; Order (exchange); Product (mathematics); User group; Service (business); World Wide Web; Internet privacy; Knowledge management; Business; Marketing; Mathematics","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":[0.003705642,0.0003938513,0.0004122877,0.0009230641,0.0008325129,0.002825555,0.0003724148,0.001244585,0.01528169],"category_scores_gemma":[0.01969117,0.0001730508,0.000457312,0.0007920318,0.0004491859,0.00169761,0.001049811,0.0007724381,0.002767168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006821254,"about_ca_system_score_gemma":0.001070439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001340206,"about_ca_topic_score_gemma":0.002557668,"domain_scores_codex":[0.997977,0.0008308898,0.0001219425,0.0001918848,0.0005901958,0.0002881057],"domain_scores_gemma":[0.9842423,0.008435674,0.002374209,0.001231893,0.001845439,0.001870475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002195705,0.004718445,0.2340133,0.001553848,0.0006369703,0.000703958,0.003857013,0.004175714,0.01938377,0.02957117,0.02543517,0.673755],"study_design_scores_gemma":[0.0008993747,0.008421477,0.7570528,0.0004040497,0.001219479,0.0007746628,0.005083682,0.01975264,0.02632563,0.0181147,0.1617493,0.0002022283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545024,0.001933148,0.004286782,0.004134153,0.0002326598,0.0002982878,0.0001959044,0.000652789,0.133764],"genre_scores_gemma":[0.9880455,0.0005269547,0.00371726,0.0002832846,0.0001661717,0.00005457837,0.00009391418,0.0000488455,0.007063549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01528169,"threshold_uncertainty_score":0.05112231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2032423671656343,"score_gpt":0.411548474237977,"score_spread":0.2083061070723427,"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."}}