{"id":"W2050482694","doi":"10.1145/2590296.2590304","title":"pTwitterRec","year":2014,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Internet privacy; World Wide Web; Social media; Social network (sociolinguistics); Order (exchange); Task (project management); Overhead (engineering); Encryption; Recommender system; Computer security","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":[0.0004697717,0.00002678972,0.00003510058,0.00001906026,0.0002407664,0.00004665294,0.0001904924,0.00003651194,0.0006693915],"category_scores_gemma":[0.0004305372,0.00002366132,0.0000157669,0.00007550726,0.00005563272,0.0001587219,0.00005321084,0.00004141614,0.0004301428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001667865,"about_ca_system_score_gemma":0.00001847059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005796735,"about_ca_topic_score_gemma":0.003590175,"domain_scores_codex":[0.9995477,0.00008473915,0.00004581942,0.00008352674,0.000120437,0.0001177438],"domain_scores_gemma":[0.9997506,0.00003006684,0.00001345812,0.000138022,0.00001723072,0.00005059325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008565336,0.00006389403,0.004999513,0.000007138722,0.000006574902,5.666596e-7,0.009295016,3.897765e-7,0.0003220205,0.6486657,0.152702,0.1839285],"study_design_scores_gemma":[0.00006201184,0.00001238292,0.001449781,0.000001414162,0.000001362993,1.55012e-7,0.0004741719,0.0000535625,0.0002023844,0.0447503,0.9529416,0.00005090655],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03147613,0.0000182319,0.02262697,0.008272605,0.0006453388,0.0001127098,8.623454e-7,0.0002233003,0.9366239],"genre_scores_gemma":[0.9952858,0.00001725082,0.0006466305,0.0006668796,0.0004624677,0.000004308556,0.000001852409,0.000002168731,0.002912604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9638097,"threshold_uncertainty_score":0.8762968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03186792565135659,"score_gpt":0.3091266513740239,"score_spread":0.2772587257226673,"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."}}