{"id":"W7113356316","doi":"","title":"Statistical Disclosure Control and Developments in Formal Privacy: In Memoriam to Chris Skinner","year":2022,"lang":"en","type":"article","venue":"Research Explorer (The University of Manchester)","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microdata (statistics); Census; Control (management); Sample (material); Survey sampling; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.002488978,0.0001055576,0.0002007708,0.0005235638,0.0002965152,0.00004283497,0.01212983,0.00004712704,0.00002760827],"category_scores_gemma":[0.002147719,0.0001012708,0.00001953652,0.001000345,0.0002461649,0.0006076462,0.07645138,0.0006568671,0.00001572851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000337034,"about_ca_system_score_gemma":0.0001394061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004911594,"about_ca_topic_score_gemma":0.00002060471,"domain_scores_codex":[0.9975572,0.000500342,0.0001890892,0.0003962388,0.0007814307,0.0005757341],"domain_scores_gemma":[0.9972036,0.0005338463,0.00004736567,0.002066654,0.00005896475,0.00008955298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001617709,0.001353979,0.3328241,0.0003602708,0.0001940612,0.001967681,0.2197731,0.0006289275,0.001376435,0.02659217,0.2698827,0.1434288],"study_design_scores_gemma":[0.005103596,0.000717063,0.8178599,0.0001273305,0.000007396284,0.00002620581,0.02884023,0.02843964,0.0003005234,0.04495862,0.07307722,0.0005422375],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252723,0.00005476241,0.04927726,0.02447485,0.0001122238,0.0006413176,0.00003642432,0.00006317779,0.00006766324],"genre_scores_gemma":[0.9590534,0.00003907336,0.04080225,0.00006318391,0.000009787088,0.0000117759,0.000005473363,0.000006609561,0.000008441945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4850359,"threshold_uncertainty_score":0.993215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004911858410598,"score_gpt":0.2880779476543376,"score_spread":0.2380288290702316,"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."}}