{"id":"W2941063311","doi":"10.1145/3290605.3300410","title":"\"Everyone Has Some Personal Stuff\"","year":2019,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Password; Internet privacy; Computer science; Software deployment; Computer security; Information privacy; World Wide Web","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":[0.001390838,0.0004489605,0.000293658,0.0003474162,0.006378924,0.002575671,0.00057209,0.001369425,0.02566147],"category_scores_gemma":[0.003797274,0.000292979,0.000269862,0.0006584546,0.004907107,0.004263525,0.005144287,0.001915728,0.007703104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008360641,"about_ca_system_score_gemma":0.001252395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004425896,"about_ca_topic_score_gemma":0.005717909,"domain_scores_codex":[0.998327,0.000793133,0.00006672423,0.0001943656,0.0003854952,0.000233352],"domain_scores_gemma":[0.99829,0.0004038053,0.0002814427,0.0004225967,0.0002808547,0.0003212859],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003071919,0.0001445295,0.03207817,0.0009284001,0.00009892286,0.003141147,0.3089819,0.0003522055,0.01911517,0.131119,0.253296,0.2504374],"study_design_scores_gemma":[0.00001162471,0.0001167397,0.006773523,0.0002619013,0.00002885868,0.003010479,0.1176012,0.0002443843,0.001594878,0.009512,0.8607825,0.0000619964],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2861016,0.00290845,0.04801265,0.07887151,0.001689678,0.000344789,0.0008043437,0.001461911,0.5798051],"genre_scores_gemma":[0.7863732,0.00163491,0.00733425,0.01824271,0.0001750508,0.0001788718,0.0002640787,0.0001437272,0.1856532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02566147,"threshold_uncertainty_score":0.08584619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286178660076086,"score_gpt":0.2957887536778753,"score_spread":0.2529269670771144,"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."}}