{"id":"W2261070895","doi":"10.4018/ijkm.2015040103","title":"Individual Level Knowledge Transfer in Virtual Settings","year":2015,"lang":"en","type":"article","venue":"International Journal of Knowledge Management","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University; Western University; Saint Mary's University","funders":"","keywords":"Knowledge management; Knowledge transfer; Process (computing); Knowledge base; Knowledge sharing; Computer science; Body of knowledge; Field (mathematics); Data science; World Wide Web","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":[0.003774073,0.00018976,0.0002782514,0.001117626,0.0001029071,0.0002411169,0.001571321,0.00008762934,0.0001440715],"category_scores_gemma":[0.0002266144,0.0001892899,0.0001721437,0.0005145837,0.0001408209,0.0006369319,0.0003664147,0.0003022964,0.000264978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006303262,"about_ca_system_score_gemma":0.000248991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003736846,"about_ca_topic_score_gemma":0.001194535,"domain_scores_codex":[0.9973224,0.0002673236,0.0007515978,0.0002323351,0.001045846,0.0003805288],"domain_scores_gemma":[0.9985257,0.0001141027,0.0001592826,0.0001279379,0.0008260336,0.0002469234],"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":[0.0003113538,0.001840914,0.01340257,0.00005607171,0.001279539,0.0005983994,0.1486275,0.0001867737,0.0000200638,0.4021237,0.06908099,0.3624721],"study_design_scores_gemma":[0.00444622,0.0001708137,0.00710871,0.0004045544,0.0001318492,0.0000107657,0.03721818,0.0002020012,0.00008707162,0.003388841,0.9464212,0.0004097685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08041383,0.001411773,0.00530189,0.001941913,0.007175385,0.0003875291,0.00000996161,0.00005456739,0.9033031],"genre_scores_gemma":[0.9825926,0.0001991917,0.000474525,0.0001266481,0.001313004,0.00001079885,0.000006031618,0.00002108523,0.01525613],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9021788,"threshold_uncertainty_score":0.7719017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084370982193056,"score_gpt":0.3566487284251173,"score_spread":0.2482116302058117,"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."}}