{"id":"W4282974222","doi":"10.24908/ss.v20i2.14536","title":"Security, Suspicion, and Surveillance? There’s an App for That","year":2022,"lang":"en","type":"article","venue":"Surveillance & Society","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The King's University; Western University","funders":"","keywords":"Popularity; Social media; Internet privacy; Feeling; Order (exchange); Criminology; Coronavirus disease 2019 (COVID-19); Computer security; Sociology; Public relations; Political science; Business; Computer science; Psychology; Social psychology; Law; Medicine","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":[0.004958538,0.0006453831,0.0006331366,0.00340074,0.005521114,0.01786688,0.0007971871,0.003927238,0.00741127],"category_scores_gemma":[0.02914539,0.0005238786,0.0007972304,0.002114909,0.01693724,0.02675034,0.003890777,0.005297345,0.001810394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001967176,"about_ca_system_score_gemma":0.00266802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005905339,"about_ca_topic_score_gemma":0.005704871,"domain_scores_codex":[0.9934826,0.004015177,0.0002850791,0.0004284969,0.001396407,0.0003921524],"domain_scores_gemma":[0.9851601,0.008805192,0.001593527,0.001183207,0.002343218,0.0009147786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002004431,0.0001956183,0.04866567,0.002532084,0.0001735053,0.001826836,0.1707173,0.0001887622,0.001165504,0.2433112,0.1403144,0.3907087],"study_design_scores_gemma":[0.00002480159,0.0002078631,0.02367525,0.008471123,0.000186779,0.005498807,0.1913347,0.0007082405,0.001034626,0.1125936,0.6560864,0.0001776664],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1000787,0.09039193,0.01100217,0.5638473,0.006696981,0.0001650256,0.000273312,0.0003983003,0.2271463],"genre_scores_gemma":[0.8864727,0.0397944,0.006275905,0.04830303,0.002983757,0.0001516344,0.0001947466,0.0001678523,0.01565596],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01786688,"threshold_uncertainty_score":0.0262236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193022711167788,"score_gpt":0.2584514599082446,"score_spread":0.2391491887914658,"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."}}