{"id":"W7015949701","doi":"","title":"The Use of Ontologies Meta-Knowledge to Facilitate the Sharing of Knowledge in a Multi-Agent Personal Communication System","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Personal Information Management and User Behavior","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge sharing; Ontology; Key (lock); Knowledge-based systems; Data sharing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00296905,0.00010346,0.0002718147,0.0001529183,0.0001945902,0.0001324103,0.001248457,0.00003141683,0.000275323],"category_scores_gemma":[0.0003313578,0.00005061776,0.0001649246,0.0005610143,0.000147076,0.00036279,0.0002750152,0.0001008518,0.0002355571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005423982,"about_ca_system_score_gemma":0.00002658954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001568883,"about_ca_topic_score_gemma":0.001727588,"domain_scores_codex":[0.9981897,0.0003123051,0.0007237548,0.0001604501,0.0004516536,0.0001621298],"domain_scores_gemma":[0.9975963,0.001259432,0.0001739325,0.0006803877,0.0002544885,0.00003547603],"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":[0.0004872693,0.0007554358,0.03769239,0.0001732514,0.0005889544,0.000002630117,0.2775188,0.003390439,0.001704974,0.02977948,0.04408333,0.603823],"study_design_scores_gemma":[0.001236339,0.0001370788,0.329568,0.0001760647,0.0003314402,0.000003616981,0.06545229,0.2047068,0.0005922909,0.0006021025,0.3967981,0.0003958527],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828376,0.0005472715,0.0003074488,0.0008013629,0.00006779913,0.0004782434,0.00003375208,0.00002327424,0.01490326],"genre_scores_gemma":[0.9878327,0.00003552405,0.001019666,0.00002860417,0.000003381561,0.00007847136,0.000001839225,0.000003242045,0.01099656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6034272,"threshold_uncertainty_score":0.3027688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.730835262643224,"score_gpt":0.4537540917430888,"score_spread":0.2770811709001352,"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."}}