{"id":"W1538933717","doi":"10.1007/978-3-540-74780-2_10","title":"Private Data Management in Collaborative Environments","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Computer science; Workflow; Personally identifiable information; Personal information management; World Wide Web; Collaborative software; Personal information manager; Software; Knowledge management; Data science; Information system; Management information systems; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.01006123,0.0004368567,0.0005653641,0.001777932,0.0001580642,0.0006796304,0.008479815,0.0001996141,0.0002041997],"category_scores_gemma":[0.0003845057,0.0003631418,0.00004962205,0.001444426,0.0009419323,0.0009698237,0.008723586,0.0005455105,0.0004968034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003398153,"about_ca_system_score_gemma":0.0001131336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001865457,"about_ca_topic_score_gemma":0.0005303887,"domain_scores_codex":[0.992079,0.0001006652,0.00112913,0.002560337,0.003487298,0.000643628],"domain_scores_gemma":[0.9943151,0.0009189529,0.0004590034,0.00410074,0.00006261876,0.000143606],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002072014,0.00006046486,0.00009264953,0.0000137134,0.00001847261,0.0002900947,0.0003855616,0.006073211,0.000004779049,0.02636562,0.0004978498,0.9661769],"study_design_scores_gemma":[0.000628664,0.00009766936,0.001744069,0.0002587477,0.00001790849,0.000005301871,0.000007293571,0.03208984,0.00009579449,0.4043665,0.5598968,0.0007914063],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000571849,0.0002329955,0.965532,0.0006474397,0.001115153,0.0008183696,0.0001204446,0.00002244185,0.03145395],"genre_scores_gemma":[0.04901737,0.001294138,0.9114175,0.01471588,0.0008793924,0.00003993328,0.0005206331,0.0001284401,0.02198674],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9653854,"threshold_uncertainty_score":0.999882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.143453871508199,"score_gpt":0.386113882430825,"score_spread":0.242660010922626,"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."}}