{"id":"W2107122082","doi":"10.1145/1135777.1135801","title":"Examining the content and privacy of web browsing incidental information","year":2006,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Consistency (knowledge bases); World Wide Web; Information retrieval; Field (mathematics); Task (project management); Internet privacy; Partition (number theory); Scheme (mathematics); Information privacy; Artificial intelligence; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000531529,0.0000357669,0.00004951674,0.00003488249,0.0003055123,0.00009102223,0.0001363319,0.00003303596,0.00002883899],"category_scores_gemma":[0.0002908458,0.00002573087,0.00001142435,0.00009479298,0.000135991,0.0009570121,0.0001237643,0.00004814249,0.000005338622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002950621,"about_ca_system_score_gemma":0.00003806114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01772284,"about_ca_topic_score_gemma":0.002592437,"domain_scores_codex":[0.9994692,0.00005889427,0.000149869,0.00004799842,0.0001820865,0.00009194462],"domain_scores_gemma":[0.9997055,0.00005566702,0.0000825978,0.00009321637,0.00004450294,0.00001849995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009447195,0.0001644267,0.3538619,0.0001126886,0.00004032028,0.000001665769,0.1064214,0.00001222946,0.01948445,0.3355412,0.01293247,0.1713327],"study_design_scores_gemma":[0.001534868,0.0001477336,0.7345579,0.0000764954,0.0000353279,0.00001084315,0.1048184,0.001477077,0.007203924,0.02109212,0.1286752,0.0003701837],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691795,0.00006560436,0.001133466,0.0006005656,0.0001004138,0.0001775094,0.000003538579,0.00003389053,0.02870559],"genre_scores_gemma":[0.9994469,0.00003401112,0.0002728709,0.00008261377,0.00007759765,0.000003499802,0.000006414532,0.000001267429,0.00007478445],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3806959,"threshold_uncertainty_score":0.9888182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0521623647764124,"score_gpt":0.2767011611150725,"score_spread":0.2245387963386601,"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."}}