{"id":"W3182013156","doi":"10.3389/frai.2021.679459","title":"Users’ Responsiveness to Persuasive Techniques in Recommender Systems","year":2021,"lang":"en","type":"article","venue":"Frontiers in Artificial Intelligence","topic":"Media Influence and Health","field":"Arts and Humanities","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Recommender system; Computer science; Domain (mathematical analysis); Context (archaeology); Focus (optics); Big Five personality traits; Personality; Persuasive technology; World Wide Web; Human–computer interaction; Persuasion; Psychology; Social psychology","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":[0.006936484,0.0004344928,0.0004102304,0.0009992665,0.0006961288,0.003093453,0.0004568447,0.001524323,0.001867346],"category_scores_gemma":[0.0519468,0.0004315786,0.000645048,0.0006861482,0.0005952853,0.00205288,0.0008227982,0.001127488,0.0009741278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003627844,"about_ca_system_score_gemma":0.000327974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001115661,"about_ca_topic_score_gemma":0.0008154091,"domain_scores_codex":[0.9910783,0.00644055,0.0003817543,0.0005068823,0.001361907,0.0002306008],"domain_scores_gemma":[0.9473362,0.04360097,0.002310481,0.00233699,0.003835648,0.0005797478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001367467,0.0008792948,0.3208617,0.001643259,0.0009259444,0.001562748,0.0974779,0.009071975,0.0457033,0.007682567,0.003471277,0.5093526],"study_design_scores_gemma":[0.0003041427,0.005270144,0.7484938,0.0007109364,0.001201177,0.0039163,0.05868845,0.08032326,0.02862293,0.01231225,0.05938374,0.0007729545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581845,0.001087915,0.02258158,0.0006984418,0.000048343,0.0001359077,0.00005319922,0.0002631475,0.016947],"genre_scores_gemma":[0.9942153,0.0002576204,0.003759385,0.0001040461,0.00002666387,0.00005961648,0.00004029693,0.00002579096,0.001511237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006936484,"threshold_uncertainty_score":0.0366841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.107598969302459,"score_gpt":0.3304428650773308,"score_spread":0.2228438957748718,"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."}}