{"id":"W2061273816","doi":"10.7202/1012392ar","title":"Learning Dynamics across Boundaries of IS Context: A Structural perspective to Support Knowledge Management1","year":2012,"lang":"en","type":"article","venue":"Management international","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embeddedness; Perspective (graphical); Knowledge management; Context (archaeology); Multinational corporation; Sociology; Dynamics (music); Ethnography; Social learning; Process (computing); Computer science; Business; Pedagogy; Social science; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000882401,0.0001649841,0.0001774279,0.0002597408,0.0007055146,0.0003891435,0.0006629755,0.00004660971,0.001297352],"category_scores_gemma":[0.00009076695,0.000181135,0.0001156027,0.0003485382,0.0002524447,0.0005814034,0.0008122763,0.0001275239,0.0003687061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006667364,"about_ca_system_score_gemma":0.00002404948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006486751,"about_ca_topic_score_gemma":0.001739037,"domain_scores_codex":[0.9982517,0.00006156264,0.0002939491,0.0002835203,0.0005687033,0.0005405396],"domain_scores_gemma":[0.9992738,0.00003734054,0.000135553,0.000163026,0.0002656364,0.0001246858],"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":[0.00003058631,0.00007256109,0.1024921,0.0000342401,0.000313991,0.000002956479,0.1002027,0.00001025666,0.000001000352,0.7462584,0.008397212,0.042184],"study_design_scores_gemma":[0.0004652832,0.00005691234,0.03361851,0.00003753732,0.00005102759,3.474909e-7,0.2179575,0.0006229296,0.00001916434,0.002190148,0.7447122,0.000268421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1271598,0.00009375007,0.002266781,0.001840754,0.002459479,0.0005240951,0.00002701141,0.0001099607,0.8655184],"genre_scores_gemma":[0.8899711,0.00002366556,0.0004566761,0.0002286432,0.0003286494,0.00003350013,0.00002928807,0.00001638929,0.108912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7628114,"threshold_uncertainty_score":0.9996156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02566057416718178,"score_gpt":0.3671348191139719,"score_spread":0.3414742449467902,"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."}}