{"id":"W2178173146","doi":"","title":"Leading Johnny to Water: Designing for Usability and Trust.","year":2015,"lang":"en","type":"article","venue":"Symposium On Usable Privacy and Security","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Encryption; Usability; Computer security; USable; Plaintext; Server; Ciphertext; Transparency (behavior); Internet privacy; World Wide Web; Human–computer interaction","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":[0.003244827,0.0002026806,0.0002950197,0.0001074558,0.001071439,0.0003271578,0.0003829737,0.000183669,0.00002047992],"category_scores_gemma":[0.001645792,0.0001767422,0.00005121516,0.0001740963,0.0002323525,0.0006955591,0.0004038003,0.0002076813,0.00002887871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001714687,"about_ca_system_score_gemma":0.0001102758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00155284,"about_ca_topic_score_gemma":0.0003994621,"domain_scores_codex":[0.9978684,0.0003070996,0.0002768779,0.0005998484,0.0003344782,0.0006132684],"domain_scores_gemma":[0.9986293,0.0002056866,0.00005825441,0.0003955669,0.000148779,0.0005624539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003702522,0.001346802,0.07441246,0.001190528,0.0001832716,0.00001932573,0.6584666,0.0001100065,0.03717502,0.1683705,0.0326605,0.02236256],"study_design_scores_gemma":[0.002710214,0.001370279,0.0007534073,0.0001211154,0.00008199354,0.000008796815,0.007935713,0.00144993,0.04310216,0.3246067,0.6167615,0.001098225],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9777319,0.0001818766,0.003231106,0.009810117,0.0005495497,0.001437345,0.00004041168,0.0001599797,0.006857655],"genre_scores_gemma":[0.9969593,0.0001448074,0.001719839,0.0004572936,0.0003554775,0.0001014987,0.00001524163,0.00001604604,0.0002305542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6505308,"threshold_uncertainty_score":0.8240753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04526415257154075,"score_gpt":0.3148092511929522,"score_spread":0.2695450986214114,"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."}}