{"id":"W2414714814","doi":"10.1145/2901790.2901853","title":"People Searched by People","year":2016,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"The Internet; Contextualization; Vetting; Set (abstract data type); Vignette; Context (archaeology); Computer science; Agency (philosophy); World Wide Web; Internet privacy; Sketch; Psychology; Sociology; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001381296,0.0003139641,0.0004109757,0.00198284,0.003732915,0.004817341,0.000426916,0.00171629,0.009965045],"category_scores_gemma":[0.008426808,0.000246868,0.0002771349,0.0021818,0.004078882,0.006241641,0.003393758,0.0009273289,0.002717896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006533097,"about_ca_system_score_gemma":0.0006969775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003762803,"about_ca_topic_score_gemma":0.002296007,"domain_scores_codex":[0.9975574,0.001010342,0.0001818192,0.0004114153,0.0005228012,0.0003162397],"domain_scores_gemma":[0.9960731,0.001480982,0.0008828328,0.0006382629,0.0004872596,0.0004374344],"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":[0.000195878,0.00008881187,0.08745246,0.0005167092,0.00006802815,0.001722408,0.7485125,0.00008384635,0.003247959,0.046781,0.01660364,0.0947267],"study_design_scores_gemma":[0.00003029848,0.0001318228,0.03705259,0.0005999738,0.00005488963,0.003902857,0.5037389,0.0002197114,0.001327943,0.01649047,0.4363564,0.00009410757],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8534735,0.005930156,0.005624145,0.007093228,0.0002506699,0.0001774677,0.0005444689,0.0001569665,0.1267494],"genre_scores_gemma":[0.9616899,0.001629149,0.001562832,0.003500924,0.00009146025,0.000111451,0.0002784016,0.00005470687,0.03108106],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009965045,"threshold_uncertainty_score":0.03333634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0265928617847042,"score_gpt":0.3102331333464173,"score_spread":0.2836402715617131,"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."}}