{"id":"W2409611803","doi":"10.1145/2910019.2910047","title":"Applying a Knowledge Audit Strategy for Public Corporate Boards","year":2016,"lang":"en","type":"article","venue":"","topic":"Information Architecture and Usability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Audit; Knowledge management; Context (archaeology); Tacit knowledge; Government (linguistics); Set (abstract data type); Business; Action (physics); Computer science; Accounting","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":[0.0004320517,0.00008967585,0.00009575023,0.00007651094,0.0001213176,0.0001438851,0.0004888145,0.00003915014,0.00008337405],"category_scores_gemma":[0.0000658193,0.00005109407,0.00006103502,0.0001971102,0.00003667583,0.0007551759,0.0001239454,0.00003734998,0.0002598001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003805748,"about_ca_system_score_gemma":0.0001888976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002233432,"about_ca_topic_score_gemma":0.00002737183,"domain_scores_codex":[0.9992181,0.00002698194,0.0002054417,0.0001915337,0.0001041314,0.0002538326],"domain_scores_gemma":[0.9991148,0.0001390248,0.00009919745,0.000382104,0.000173414,0.00009143502],"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":[0.000002893071,0.00002052656,0.0001325848,0.00001317614,0.000005131732,1.431585e-7,0.0001196283,0.000004509183,0.0002280862,0.4245711,0.005319966,0.5695823],"study_design_scores_gemma":[0.001509428,0.0002662964,0.002456844,0.00002064244,0.000004346794,0.00001528684,0.00003973027,0.04887984,0.006225095,0.1903437,0.7497458,0.0004929333],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001904476,0.000008065674,0.9405478,0.002084165,0.0001873683,0.0004224637,0.00000416463,0.000229155,0.05461231],"genre_scores_gemma":[0.9687153,0.000001278234,0.02728302,0.00045634,0.000078455,0.0002864697,0.000001848405,0.00000445986,0.003172857],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9668108,"threshold_uncertainty_score":0.3339292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07674655635799627,"score_gpt":0.283798694451253,"score_spread":0.2070521380932567,"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."}}