{"id":"W2611409414","doi":"10.1007/978-3-319-59041-7_3","title":"Privacy Preserving Discovery of Nearby-Friends","year":2017,"lang":"en","type":"book-chapter","venue":"Lecture notes in business information processing","topic":"Cryptography and Data Security","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Internet privacy; Computer science; World Wide Web","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0003029937,0.0003655131,0.0004521134,0.0006575231,0.0002624675,0.001275333,0.001932271,0.0004038764,0.00001844238],"category_scores_gemma":[0.0004234965,0.0003359528,0.00009972227,0.000249999,0.0001647825,0.01272428,0.0009112333,0.0004900069,0.000007166401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005080762,"about_ca_system_score_gemma":0.0003744386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000393347,"about_ca_topic_score_gemma":0.0000332156,"domain_scores_codex":[0.9981022,0.00001145993,0.0007611019,0.0003090437,0.0005382965,0.0002778703],"domain_scores_gemma":[0.9968482,0.000100903,0.001285399,0.001213129,0.0005106897,0.00004164615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000534374,0.00003851211,0.0003687877,0.003727649,0.00004080502,0.00001019783,0.005479167,0.001919377,0.00002728575,0.222463,0.00008654929,0.7657853],"study_design_scores_gemma":[0.001693019,0.00007619914,0.006228058,0.009648564,0.0001045264,0.00006283982,0.00001656439,0.04977573,0.001898162,0.7435551,0.1845082,0.002433048],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00008363255,0.0007485623,0.9345826,0.0003624332,0.0003431405,0.0002235219,0.00004112199,0.00009576917,0.0635192],"genre_scores_gemma":[0.8825873,0.000570088,0.114253,0.000741167,0.0004414612,0.00003898828,0.0008038305,0.00007504555,0.0004891069],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8825037,"threshold_uncertainty_score":0.9999092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598852048327291,"score_gpt":0.2474917981827645,"score_spread":0.2315032776994916,"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."}}