{"id":"W4392943038","doi":"10.1109/icmla58977.2023.00181","title":"$\\alpha$ - Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing","year":2023,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; McGill University","funders":"","keywords":"Information privacy; Privacy protection; Internet privacy; Measure (data warehouse); Computer science; Privacy software; Information sensitivity; Computer security; Information sharing; World Wide Web; Data mining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0198507,0.001785381,0.001868801,0.001606192,0.001523362,0.004834186,0.004827215,0.003353978,0.001886078],"category_scores_gemma":[0.05451913,0.0008612699,0.001751811,0.002308544,0.005632959,0.01174131,0.007748656,0.005400022,0.0005574714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004305074,"about_ca_system_score_gemma":0.002919984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007665885,"about_ca_topic_score_gemma":0.0007176275,"domain_scores_codex":[0.9737114,0.01463357,0.001350268,0.003119436,0.005919164,0.001266195],"domain_scores_gemma":[0.9518331,0.02342122,0.003911307,0.01765507,0.002179492,0.0009998167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008057388,0.0003667494,0.003614109,0.0003245921,0.0002961016,0.000286968,0.0004805999,0.3842824,0.01048235,0.4727018,0.004492945,0.1218657],"study_design_scores_gemma":[0.00006023735,0.0005299399,0.0009461586,0.00009075493,0.00007766153,0.0004941802,0.0001053773,0.7745534,0.01550752,0.2019023,0.005627535,0.000105003],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02642255,0.0007460183,0.9663302,0.001714589,0.00006918461,0.0001443738,0.0001672756,0.00039753,0.004008339],"genre_scores_gemma":[0.8096335,0.0006088655,0.1861399,0.000552394,0.0001501064,0.0003139126,0.0001884121,0.0001859418,0.002227034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0198507,"threshold_uncertainty_score":0.1049818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1434528248708208,"score_gpt":0.3203840621941216,"score_spread":0.1769312373233007,"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."}}