{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005815698,0.00005255459,0.0000747583,0.00002908473,0.0003593432,0.0000585561,0.0003360535,0.00006832864,0.002939194],"category_scores_gemma":[0.0008563069,0.00003539545,0.00002997934,0.0002082289,0.00007377921,0.0003932031,0.000138034,0.00004946892,0.0006647718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007057126,"about_ca_system_score_gemma":0.00008842145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01937578,"about_ca_topic_score_gemma":0.04782046,"domain_scores_codex":[0.9990616,0.0001310697,0.00008010381,0.0001711648,0.0002834191,0.0002726087],"domain_scores_gemma":[0.9994553,0.0001358072,0.00002281994,0.0002188242,0.00004280712,0.0001244158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004023348,0.0002038407,0.03326607,0.00001595528,0.00002056425,0.000001067189,0.02487689,3.475187e-8,0.01678011,0.08308446,0.774696,0.06701479],"study_design_scores_gemma":[0.0007365131,0.00007799872,0.01269976,0.00001232328,0.00000772897,0.000001004658,0.006659178,0.00001508849,0.008344228,0.0380332,0.9330865,0.0003264935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6138989,0.0002268549,0.03778468,0.08845063,0.0009213075,0.0008124314,0.0001069157,0.0007967655,0.2570015],"genre_scores_gemma":[0.988026,0.0002310616,0.0001923241,0.0001526312,0.0001789809,0.00001738996,0.000005761132,0.000005305287,0.01119051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3741271,"threshold_uncertainty_score":0.9979722,"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."}}