{"id":"W1995007333","doi":"10.4018/jmhci.2011010104","title":"Evaluating the Readability of Privacy Policies in Mobile Environments","year":2011,"lang":"en","type":"article","venue":"International Journal of Mobile Human Computer Interaction","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Readability; Computer science; Comprehension; Internet privacy; The Internet; Mobile device; Privacy policy; World Wide Web; Multimedia; Computer security; Information privacy","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":[0.006068861,0.0004810578,0.0004877732,0.0009190496,0.0003606966,0.001856371,0.0003992091,0.0007804218,0.003011342],"category_scores_gemma":[0.06225458,0.0002484316,0.0003514962,0.0004468421,0.0007963664,0.002177278,0.001162663,0.0006293536,0.0004474649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814439,"about_ca_system_score_gemma":0.0002573932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006906096,"about_ca_topic_score_gemma":0.0005297362,"domain_scores_codex":[0.9970618,0.001697458,0.0002533875,0.0003281818,0.0005281341,0.0001310524],"domain_scores_gemma":[0.8973933,0.08801757,0.007381428,0.002992172,0.003231762,0.00098364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004869325,0.004372921,0.5167127,0.001403023,0.0003836374,0.001051269,0.2206668,0.00477487,0.0844547,0.001135793,0.001461154,0.1587137],"study_design_scores_gemma":[0.0003928366,0.01874275,0.8299837,0.0003281767,0.0002995227,0.001168892,0.0803984,0.01863094,0.03943666,0.00323976,0.007172237,0.0002062371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984322,0.00003589364,0.0006529818,0.00003020441,0.000002723556,0.00004384209,0.00002893761,0.00002129851,0.0007519234],"genre_scores_gemma":[0.9979334,0.00008217672,0.001340988,0.00002919953,0.000007672635,0.00005624429,0.0001293709,0.00001212463,0.0004088471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006068861,"threshold_uncertainty_score":0.03209555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116279234635389,"score_gpt":0.4194801134255782,"score_spread":0.3032008787901892,"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."}}