{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002459401,0.0001768281,0.0003238309,0.0001417585,0.0006985053,0.0006411505,0.0005433736,0.0002949703,0.0001361846],"category_scores_gemma":[0.001286814,0.0001777248,0.0004514669,0.001726852,0.0002786665,0.0008475965,0.0002941809,0.0005516588,0.00004631837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007205762,"about_ca_system_score_gemma":0.0001854453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006213655,"about_ca_topic_score_gemma":0.1242462,"domain_scores_codex":[0.9974281,0.0002918096,0.0004743208,0.0005471109,0.0007359096,0.0005227988],"domain_scores_gemma":[0.9989604,0.0004826476,0.0001140673,0.0002317031,0.00009850622,0.0001126213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003062531,0.00008078949,0.007037431,0.0001035078,0.0004899295,0.00001379364,0.9741333,0.000003717509,0.0003771049,0.002417765,0.01034082,0.004971178],"study_design_scores_gemma":[0.001064143,0.00002176452,0.01966853,0.0003200661,0.0006418435,6.913018e-7,0.9400851,0.000629329,0.0002970517,0.0103179,0.02621113,0.0007424995],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828933,0.001129485,0.004459156,0.005337106,0.003584214,0.0004501525,0.0004626982,0.0003342681,0.001349579],"genre_scores_gemma":[0.9966669,0.001167133,0.0001908562,0.0001575448,0.001464091,0.0000502786,0.0001466195,0.00001862782,0.0001379541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1180326,"threshold_uncertainty_score":0.9393228,"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."}}