{"id":"W359391453","doi":"10.11575/prism/30983","title":"Utility of Knowledge Discovered from Sanitized Data","year":2008,"lang":"en","type":"article","venue":"Open MIND","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Function (biology); Categorization; Knowledge extraction; Ask price; Differential privacy; Data publishing; Data science; Data mining; Information retrieval; Artificial intelligence","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":[0.02483911,0.0006405944,0.00134229,0.003644677,0.001084605,0.004799037,0.001435017,0.001218302,0.0006133722],"category_scores_gemma":[0.1086831,0.0004199406,0.001130392,0.00405783,0.002945597,0.008279057,0.003213257,0.001497252,0.0001770471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533398,"about_ca_system_score_gemma":0.001607631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008048298,"about_ca_topic_score_gemma":0.0006957836,"domain_scores_codex":[0.9797804,0.009941016,0.001499193,0.001502214,0.006495516,0.000781694],"domain_scores_gemma":[0.855535,0.1007962,0.007505137,0.02916563,0.005893223,0.001104743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004599836,0.0009590245,0.0948839,0.001424464,0.001124966,0.001409651,0.005761168,0.3418736,0.02973761,0.1116814,0.001922379,0.404622],"study_design_scores_gemma":[0.0001298443,0.001189874,0.01946193,0.0002398735,0.0005060842,0.001242711,0.002591748,0.6939662,0.08094139,0.1935093,0.006079046,0.0001420237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7443201,0.0008969017,0.2481487,0.001353008,0.00003607124,0.0002279766,0.0006393247,0.0003823581,0.00399556],"genre_scores_gemma":[0.9561755,0.0002545656,0.04268551,0.00006090312,0.00001668267,0.00005490889,0.0003783067,0.00003399803,0.0003396178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02483911,"threshold_uncertainty_score":0.1313634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2094188825772768,"score_gpt":0.3588330026474122,"score_spread":0.1494141200701354,"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."}}