{"id":"W4384942437","doi":"10.1109/icecct56650.2023.10179655","title":"Optimization techniques for preserving privacy in data mining","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":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Computer science; Data mining; Particle swarm optimization; Heuristic; Cryptography; Information privacy; Machine learning; Artificial intelligence; Computer security","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":[0.003141153,0.0007661931,0.001107845,0.0009166176,0.0005373512,0.001306296,0.0008897052,0.0008674118,0.0008228594],"category_scores_gemma":[0.006739286,0.0003986626,0.001034266,0.001701365,0.001090653,0.001630077,0.001120679,0.001459079,0.0002139808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008370991,"about_ca_system_score_gemma":0.001175721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001075811,"about_ca_topic_score_gemma":0.0006121196,"domain_scores_codex":[0.9977295,0.001048169,0.0001797453,0.0003591714,0.0005497694,0.0001337408],"domain_scores_gemma":[0.9976921,0.001498247,0.0002992235,0.0002241795,0.0002428891,0.00004334385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001100447,0.00008104424,0.001624645,0.0003118594,0.0002033461,0.0001809533,0.0001896577,0.7782497,0.004675778,0.09343628,0.001900918,0.1190358],"study_design_scores_gemma":[0.00001468736,0.00008167642,0.0002803302,0.00003151968,0.00002901108,0.0001048361,0.0000351965,0.9475645,0.001992732,0.04737796,0.002475649,0.00001183114],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005485812,0.001063972,0.9915407,0.000400675,0.00003357086,0.00003293036,0.00003386498,0.00007069993,0.001337674],"genre_scores_gemma":[0.5304724,0.004509122,0.4607866,0.0004164783,0.0002499748,0.000285173,0.0002286701,0.0001110147,0.002940582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003141153,"threshold_uncertainty_score":0.01661217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1104648930907561,"score_gpt":0.3467061289663596,"score_spread":0.2362412358756035,"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."}}