{"id":"W2045358525","doi":"10.4018/jkm.2008010103","title":"Developing and Aligning a Knowledge Management Strategy","year":2008,"lang":"en","type":"article","venue":"International Journal of Knowledge Management","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Knowledge management; Taxonomy (biology); Computer science; Task (project management); Context (archaeology); Capitalization; Process management; Business; Engineering","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":[0.01595709,0.001219321,0.000864813,0.006649578,0.002866664,0.01277653,0.002506628,0.004624259,0.002783903],"category_scores_gemma":[0.01658751,0.0006642187,0.0008279415,0.004351655,0.00251828,0.014478,0.008094297,0.003201068,0.002479189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006167346,"about_ca_system_score_gemma":0.01975915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002408869,"about_ca_topic_score_gemma":0.001968281,"domain_scores_codex":[0.987942,0.004149537,0.001419315,0.001257865,0.004052485,0.001178805],"domain_scores_gemma":[0.9900858,0.002066491,0.001166886,0.000952816,0.004270893,0.001456965],"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":[0.00006299659,0.0006453133,0.01208609,0.000926231,0.0001905608,0.001136367,0.0140701,0.01334287,0.01240103,0.453148,0.01051933,0.481471],"study_design_scores_gemma":[0.00006599469,0.0007890674,0.01146656,0.002009148,0.0002382216,0.0009485882,0.03491591,0.06514753,0.01222113,0.6191528,0.2528348,0.0002100875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08584417,0.001330816,0.7653705,0.02087781,0.0004759556,0.002233998,0.0001024297,0.000753733,0.1230106],"genre_scores_gemma":[0.3002307,0.001298482,0.6865914,0.001303475,0.0001099165,0.0007894124,0.0003402351,0.0001318896,0.009204501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01595709,"threshold_uncertainty_score":0.08439016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06844860361626527,"score_gpt":0.3556159811848679,"score_spread":0.2871673775686026,"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."}}