{"id":"W4391283384","doi":"10.1177/20563051231224269","title":"Identifying Dark Patterns in User Account Disabling Interfaces: Content Analysis Results","year":2024,"lang":"en","type":"article","venue":"Social Media + Society","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Content (measure theory); Computer science; Human–computer interaction; 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":[0.006668654,0.0004816522,0.0003851947,0.00441751,0.002025844,0.00387852,0.0006760687,0.0007602518,0.001799142],"category_scores_gemma":[0.05084376,0.0002839353,0.0004407484,0.004527424,0.002977628,0.004442926,0.003203479,0.001090126,0.0004665135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001988556,"about_ca_system_score_gemma":0.001604342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003968843,"about_ca_topic_score_gemma":0.005548867,"domain_scores_codex":[0.9913275,0.004519562,0.0007833071,0.0009975134,0.001837933,0.0005341812],"domain_scores_gemma":[0.9299822,0.05368007,0.005604401,0.004201928,0.005717901,0.000813494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005799108,0.0004066467,0.335509,0.002202996,0.00008410337,0.0006697058,0.4949448,0.0005026661,0.01199524,0.01589648,0.005240025,0.1319685],"study_design_scores_gemma":[0.00004165159,0.0002943684,0.4794198,0.001547213,0.0001964169,0.000962035,0.4227366,0.009879753,0.01197014,0.01181493,0.0609391,0.0001980695],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772964,0.000257869,0.01109535,0.000341111,0.00002728323,0.0006473153,0.00169371,0.0001172847,0.008523699],"genre_scores_gemma":[0.9812419,0.000245069,0.01342223,0.0002665634,0.00003348219,0.001079037,0.001602139,0.0001431786,0.001966294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006668654,"threshold_uncertainty_score":0.03526765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1145946724773541,"score_gpt":0.3631568228237045,"score_spread":0.2485621503463505,"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."}}