{"id":"W135450877","doi":"10.5220/0001689401950203","title":"PERSONAL AND SOCIAL INFORMATION MANAGEMENT WITH OPNTAG","year":2008,"lang":"en","type":"article","venue":"","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Personal information management; Computer science; Personal information manager; Context (archaeology); Group information management; Personally identifiable information; Information management; Knowledge management; World Wide Web; Management information systems; Data science; Human–computer interaction; Information system; Engineering; 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":[0.004636355,0.0004110744,0.0003836497,0.0009075631,0.0009096646,0.003289555,0.00140754,0.001210555,0.008723659],"category_scores_gemma":[0.0098908,0.0004805681,0.0003194286,0.0006148249,0.001179844,0.005021507,0.004105948,0.00126636,0.001739257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007700741,"about_ca_system_score_gemma":0.0007790694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000741,"about_ca_topic_score_gemma":0.00230831,"domain_scores_codex":[0.9960747,0.001813383,0.0002342688,0.000371405,0.001334096,0.0001722486],"domain_scores_gemma":[0.9905682,0.005499352,0.0005563132,0.002061088,0.0009032924,0.0004116945],"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":[0.001927197,0.001967792,0.0208688,0.00128262,0.0001182788,0.001339265,0.01412317,0.005684378,0.04113343,0.1689418,0.04220569,0.7004076],"study_design_scores_gemma":[0.0004235826,0.001297185,0.01969968,0.000567843,0.0001745405,0.002393052,0.001494362,0.186889,0.03592977,0.1294505,0.6213861,0.000294481],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1472359,0.0003755364,0.755793,0.002355828,0.0003145922,0.002063255,0.0006200246,0.031332,0.05990991],"genre_scores_gemma":[0.3956499,0.0001641158,0.5798931,0.0008330308,0.00009095581,0.001767313,0.0005752414,0.001426735,0.01959958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008723659,"threshold_uncertainty_score":0.02918351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2045668266416971,"score_gpt":0.3793740208902519,"score_spread":0.1748071942485548,"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."}}