{"id":"W4297156401","doi":"10.1145/3546155.3546656","title":"How Well Do Experts Understand End-Users’ Perceptions of Manipulative Patterns?","year":2022,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Perception; Computer science; Interface (matter); End user; Human–computer interaction; World Wide Web; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01130785,0.0007446869,0.0004758058,0.001871933,0.0007313298,0.00386467,0.0008210435,0.00228572,0.002256209],"category_scores_gemma":[0.07816546,0.0004359972,0.0004506005,0.0004634119,0.001727216,0.005765271,0.001802646,0.001288002,0.0009595873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929883,"about_ca_system_score_gemma":0.0005394483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001326734,"about_ca_topic_score_gemma":0.00168228,"domain_scores_codex":[0.9917074,0.003705711,0.0006405743,0.0007961978,0.002436319,0.0007138841],"domain_scores_gemma":[0.9237416,0.04499822,0.01190056,0.005164734,0.01097759,0.003217265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006402021,0.0009970125,0.5438453,0.001321901,0.0002659576,0.0009039286,0.2694161,0.001781756,0.01701578,0.001537023,0.004440753,0.1578343],"study_design_scores_gemma":[0.0001172308,0.002075427,0.5698554,0.00159843,0.0002498572,0.003463075,0.3584545,0.01393615,0.009652206,0.007884797,0.03216041,0.0005525569],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796269,0.0006050898,0.009480943,0.001156673,0.00003103428,0.00008376042,0.00008423643,0.00009913008,0.008832255],"genre_scores_gemma":[0.9939566,0.0003847647,0.004295161,0.0005189317,0.00001593115,0.00005569159,0.00008674205,0.00002388528,0.0006623126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01130785,"threshold_uncertainty_score":0.05980235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0729633361783003,"score_gpt":0.3075253444480182,"score_spread":0.2345620082697178,"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."}}