{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006210235,0.0001639628,0.0003403728,0.0004469898,0.0001378754,0.0001714213,0.000243059,0.00008983905,0.0003903566],"category_scores_gemma":[0.0003426501,0.0001704264,0.00004994305,0.0002882829,0.0001348384,0.0002220755,0.00006083828,0.0002950568,0.0001240548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002671745,"about_ca_system_score_gemma":0.0002365031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166611,"about_ca_topic_score_gemma":0.006737703,"domain_scores_codex":[0.9981301,0.000219305,0.0005993586,0.0003991248,0.0002110184,0.0004410322],"domain_scores_gemma":[0.9991784,0.0001226695,0.00007394806,0.0002923196,0.0002131489,0.0001195244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000618025,0.000498298,0.0120276,0.0002687,0.00003762934,0.0005047921,0.2571739,0.0008102721,0.0006949493,0.5138124,0.04075919,0.1727942],"study_design_scores_gemma":[0.00007941417,0.0002929598,0.0005284692,0.001024793,0.00001389639,0.000007964029,0.390947,0.001611531,0.03075468,0.04049359,0.5333877,0.0008580856],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7715334,0.005264066,0.08706131,0.02287536,0.03671993,0.004568254,0.0001674578,0.0005375148,0.07127274],"genre_scores_gemma":[0.9875404,0.0004716865,0.00531473,0.003153435,0.0008360876,0.0003440343,0.00001918298,0.00004285404,0.002277651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4926285,"threshold_uncertainty_score":0.6949786,"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."}}