{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369915,0.0002175855,0.0003078015,0.00002016739,0.001122367,0.0001343342,0.0006663232,0.00004577419,0.0000617529],"category_scores_gemma":[0.00001832417,0.0002077971,0.0001893693,0.0002550202,0.0001013765,0.0002854719,0.000852111,0.0001828409,0.000002695433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008833749,"about_ca_system_score_gemma":0.00005151552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002393684,"about_ca_topic_score_gemma":0.0005168274,"domain_scores_codex":[0.9981548,0.0001505403,0.000221072,0.0006054845,0.00038802,0.0004801335],"domain_scores_gemma":[0.9989245,0.0002130622,0.0001074038,0.0005739324,0.00008985658,0.00009123817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001085377,0.0004947942,0.5701079,0.0002549122,0.0004810632,0.00001071021,0.04136505,0.0004197538,0.0003495966,0.138262,0.2219408,0.02620486],"study_design_scores_gemma":[0.003051695,0.0008558998,0.2238242,0.000008012316,0.00001056911,0.00003147879,0.007221214,0.02350947,0.0002210301,0.02089537,0.7189814,0.00138965],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8904974,0.008841689,0.07935236,0.006880592,0.002499382,0.002132227,0.0003981437,0.00146315,0.007935085],"genre_scores_gemma":[0.9967439,0.0003841293,0.0009589185,0.001085493,0.0001261406,0.0002750386,0.00004261755,0.0000200022,0.0003637409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4970406,"threshold_uncertainty_score":0.8632451,"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."}}