{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03795763,0.001010602,0.0004604931,0.001920123,0.005787508,0.01025648,0.001670202,0.002670967,0.004689072],"category_scores_gemma":[0.07737143,0.001170761,0.0007585511,0.001052921,0.01208132,0.01163569,0.006109877,0.003777929,0.002208031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004099873,"about_ca_system_score_gemma":0.007236493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00448115,"about_ca_topic_score_gemma":0.006642148,"domain_scores_codex":[0.9600205,0.03097715,0.001339566,0.001833333,0.004566757,0.001262701],"domain_scores_gemma":[0.9375694,0.0400653,0.002632583,0.005896872,0.009855669,0.003980186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001512718,0.0004551854,0.01777368,0.00197959,0.0001200843,0.001064326,0.3188754,0.001216975,0.01206294,0.205158,0.05490812,0.3862345],"study_design_scores_gemma":[0.0001559071,0.0007863015,0.01504331,0.00266358,0.0002619621,0.002102419,0.1597441,0.01093071,0.01165879,0.2432454,0.5530891,0.0003183868],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09758122,0.004902209,0.7328293,0.04313092,0.0007684596,0.002314006,0.00008566464,0.002179692,0.1162085],"genre_scores_gemma":[0.575379,0.001608527,0.3917497,0.005105198,0.00009904398,0.002055494,0.0001192006,0.001147021,0.02273685],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03795763,"threshold_uncertainty_score":0.2007416,"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."}}