{"id":"W2945833921","doi":"10.1109/infoct.2019.8711416","title":"Towards Persuasive Recommender Systems","year":2019,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Recommender system; Computer science; Persuasive technology; World Wide Web; Persuasion; 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":[0.0003001398,0.0001233698,0.0001912041,0.00008499819,0.00004223988,0.0002478983,0.0007322463,0.00006893923,0.0001109094],"category_scores_gemma":[0.000004418566,0.00009371898,0.00006957672,0.0001736058,0.000006385568,0.000448034,0.0002265757,0.00009294263,0.000499946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005527942,"about_ca_system_score_gemma":0.00003898023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000345533,"about_ca_topic_score_gemma":0.000002818749,"domain_scores_codex":[0.9989604,0.0000663383,0.0002073044,0.0003335536,0.0001971026,0.0002353438],"domain_scores_gemma":[0.9990717,0.00003487576,0.000066459,0.0006828624,0.00007057209,0.0000734971],"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":[0.000001444752,0.00004093262,0.001408162,0.00004736854,0.00003785972,0.000004415348,0.0005655794,0.000005986004,0.0002333774,0.8853093,0.07943439,0.03291118],"study_design_scores_gemma":[0.0007184565,0.0004224179,0.001445146,0.0001012782,0.000005503653,0.0001354635,0.001010937,0.05147204,0.004368236,0.006275859,0.9332083,0.0008363663],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001740862,0.000134594,0.6021458,0.001898764,0.001776705,0.0003754322,7.314574e-7,0.0006696203,0.3912575],"genre_scores_gemma":[0.9691029,0.00001918937,0.02174553,0.000712259,0.00007148485,0.00004020315,0.000001124078,0.00001105467,0.008296298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.967362,"threshold_uncertainty_score":0.6425961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814918638549321,"score_gpt":0.2465695808829148,"score_spread":0.2284203944974216,"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."}}