{"id":"W2100589324","doi":"10.3414/me0546","title":"Combining Hashing and Enciphering Algorithms for Epidemiological Analysis of Gathered Data","year":2008,"lang":"en","type":"article","venue":"Methods of Information in Medicine","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Encryption; Computer science; Hash function; Field (mathematics); Data mining; Scheme (mathematics); Algorithm; Theoretical computer science; Information retrieval; Mathematics; 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":[0.008177813,0.0009101605,0.001267249,0.004121983,0.0006502663,0.001776256,0.001356978,0.001029082,0.001391307],"category_scores_gemma":[0.02369296,0.0005765159,0.00082195,0.00354434,0.00106928,0.004075472,0.002918112,0.001200761,0.001053074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006577258,"about_ca_system_score_gemma":0.0009993579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004209254,"about_ca_topic_score_gemma":0.0004321223,"domain_scores_codex":[0.9925721,0.003440728,0.0009016693,0.000760801,0.002091974,0.0002327636],"domain_scores_gemma":[0.9807315,0.01071417,0.001999686,0.004601764,0.001659326,0.0002935038],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007517243,0.0002302876,0.01101879,0.0005423703,0.0004232663,0.000293651,0.0006363037,0.02292741,0.02622307,0.02237429,0.002013383,0.9125655],"study_design_scores_gemma":[0.0003021003,0.001033476,0.01242234,0.0002829746,0.000432088,0.004251253,0.0008567009,0.7625383,0.1033066,0.0954146,0.0188181,0.0003414895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02056856,0.0007270674,0.9769745,0.0001837382,0.00007858328,0.0001613016,0.0001257833,0.0006627566,0.0005176821],"genre_scores_gemma":[0.1827022,0.0006514173,0.8148851,0.00007950325,0.0001168663,0.0002322068,0.0003513131,0.00005455035,0.0009269059],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008177813,"threshold_uncertainty_score":0.04324895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2265448527286092,"score_gpt":0.4745068158063432,"score_spread":0.247961963077734,"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."}}