{"id":"W4388565298","doi":"10.1007/978-3-031-38696-1_3","title":"Key Milestones in the Evolution of Knowledge Management: What Is Next?","year":2023,"lang":"en","type":"book-chapter","venue":"Knowledge management and organizational learning","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Milestone; Leverage (statistics); Key (lock); Knowledge management; Data science; Computer science; Geography; Cartography","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":[0.003455873,0.0004431515,0.0004226485,0.0009586,0.001585005,0.00934197,0.001797588,0.002256522,0.009494373],"category_scores_gemma":[0.007438516,0.0003663854,0.0003812165,0.002042803,0.006336715,0.01735504,0.003052517,0.005167555,0.002211211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004109967,"about_ca_system_score_gemma":0.004463203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003837315,"about_ca_topic_score_gemma":0.003578706,"domain_scores_codex":[0.9989142,0.0003422882,0.00006306359,0.0001929963,0.0002742202,0.0002131063],"domain_scores_gemma":[0.9965621,0.001669756,0.0003031135,0.0002170491,0.0005652696,0.0006828767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009603947,0.00007971068,0.0009666325,0.0006880209,0.00001871366,0.000191811,0.005376937,0.0007356443,0.0007904348,0.7782783,0.02116394,0.1916138],"study_design_scores_gemma":[0.00001879451,0.0001038035,0.003248242,0.001410126,0.0000240651,0.0003873512,0.005150108,0.001163798,0.001599646,0.590734,0.3961061,0.00005396429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06101679,0.2290947,0.04626015,0.1976854,0.005024797,0.0001822987,0.0004461375,0.0003586356,0.4599312],"genre_scores_gemma":[0.6832275,0.1696081,0.04065654,0.0103082,0.002885506,0.0002873528,0.0005038396,0.0003785493,0.0921445],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009494373,"threshold_uncertainty_score":0.03176183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02505227047742431,"score_gpt":0.2621067281243965,"score_spread":0.2370544576469722,"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."}}