{"id":"W2075844092","doi":"10.1145/2628194.2628206","title":"<i>DARM</i>","year":2014,"lang":"en","type":"article","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Association rule learning; Computer science; Confidentiality; Scalability; Task (project management); Differential privacy; Data mining; Association (psychology); Process (computing); Information retrieval; Data science; Computer security; Database; Engineering","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":[0.001243387,0.0008476566,0.0006617242,0.001751545,0.0008645819,0.003231282,0.001430856,0.001931402,0.07179993],"category_scores_gemma":[0.006652636,0.0004295795,0.0006258034,0.002708076,0.00112082,0.003239968,0.002476664,0.001366184,0.05634775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009103015,"about_ca_system_score_gemma":0.0006432419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001175098,"about_ca_topic_score_gemma":0.001940923,"domain_scores_codex":[0.9986738,0.0002701956,0.000143303,0.0002931707,0.000500346,0.0001191402],"domain_scores_gemma":[0.9969357,0.000528359,0.0002900026,0.001188254,0.0008156419,0.0002420596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002364055,0.00006041855,0.001721485,0.0003341969,0.00003469304,0.0004310186,0.0001253434,0.001049286,0.01427012,0.03366239,0.7544136,0.193661],"study_design_scores_gemma":[0.0000186471,0.00006300446,0.001521877,0.000119856,0.00001660661,0.001107534,0.00008001953,0.008597657,0.01280339,0.01492677,0.9606907,0.00005390342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01678615,0.00441546,0.5420533,0.05345215,0.02738321,0.0006709809,0.01331917,0.03194423,0.3099754],"genre_scores_gemma":[0.2061634,0.006520282,0.2809125,0.02944976,0.01373129,0.0009476866,0.03393355,0.008172145,0.4201693],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07179993,"threshold_uncertainty_score":0.2401947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02033942195244757,"score_gpt":0.2500970280363091,"score_spread":0.2297576060838615,"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."}}