{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003518724,0.0000776507,0.00008869056,0.0002331952,0.0003398678,0.0001996516,0.0001619985,0.00002191686,0.0006714034],"category_scores_gemma":[0.000006468997,0.00004937421,0.00002791865,0.0002585105,0.00008319113,0.002102801,0.00008402967,0.00004293222,0.0005531659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001415643,"about_ca_system_score_gemma":0.000009656505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007102895,"about_ca_topic_score_gemma":0.000004753034,"domain_scores_codex":[0.9985758,0.00001395523,0.0002451301,0.00009966645,0.0009406706,0.000124746],"domain_scores_gemma":[0.9996705,0.00002674697,0.00008499414,0.00007950995,0.00009849272,0.00003972496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002880687,0.00009498628,0.1416074,0.00003720438,0.00008743368,0.00004408887,0.03947086,0.00001886633,0.000007990135,0.1327419,0.3186667,0.3669344],"study_design_scores_gemma":[0.001112552,0.00006534404,0.6583333,0.000003003782,0.00001828183,0.00004078748,0.01639307,0.001974095,0.00001260969,0.0005936814,0.3212278,0.0002254543],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.830773,0.000004162302,0.008656892,0.001714326,0.00005325075,0.0001904443,0.000005137349,0.0000630464,0.1585397],"genre_scores_gemma":[0.9856218,0.00000668332,0.002162361,0.001456488,0.00002082754,0.00001123624,0.00001168569,0.000002113567,0.01070685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5167259,"threshold_uncertainty_score":0.7351397,"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."}}