{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08777561,0.0005844332,0.0006157194,0.005670405,0.007836293,0.02054009,0.002298367,0.004011396,0.003044992],"category_scores_gemma":[0.1177705,0.0007683706,0.0006520362,0.003453471,0.009594556,0.02100185,0.008940561,0.003070001,0.0006616388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02064765,"about_ca_system_score_gemma":0.06090669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077476,"about_ca_topic_score_gemma":0.01363938,"domain_scores_codex":[0.9071043,0.07351311,0.00335699,0.002605078,0.00878592,0.004634793],"domain_scores_gemma":[0.8675252,0.06979013,0.01043999,0.01892693,0.0249665,0.008351178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001697233,0.001078177,0.02058798,0.0004925074,0.00005485104,0.0004880128,0.04694344,0.007809511,0.001980004,0.4455656,0.0111271,0.4637031],"study_design_scores_gemma":[0.0002779988,0.001722834,0.01909259,0.003244857,0.0001710907,0.0007522674,0.1564088,0.06254788,0.01194994,0.4816934,0.2617729,0.0003655041],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3216143,0.0010237,0.4857672,0.05579909,0.0004191222,0.004576164,0.0001017573,0.001409921,0.1292889],"genre_scores_gemma":[0.8632547,0.0003002035,0.1265454,0.001119815,0.00004090949,0.0008923257,0.00005870855,0.00007048386,0.00771745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08777561,"threshold_uncertainty_score":0.4642074,"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."}}