{"id":"W3191192277","doi":"10.1111/isj.12358","title":"Knowledge coordination via digital artefacts in highly dispersed teams","year":2021,"lang":"en","type":"article","venue":"Information Systems Journal","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Shandong Office of Philosophy and Social Science; Research Grants Council, University Grants Committee; City University of Hong Kong","keywords":"Knowledge management; Digital transformation; Extant taxon; Computer science; Knowledge transfer; Body of knowledge; Human–computer interaction; Process management; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006988157,0.0003868833,0.0003625097,0.00229777,0.00489711,0.006982391,0.001495105,0.001187743,0.003405791],"category_scores_gemma":[0.02502131,0.0003151901,0.000312988,0.001393859,0.006601842,0.003221872,0.009645092,0.001070141,0.0003080994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002554351,"about_ca_system_score_gemma":0.002217225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002848979,"about_ca_topic_score_gemma":0.001591937,"domain_scores_codex":[0.987671,0.008413889,0.0005495651,0.001118738,0.001380051,0.0008667251],"domain_scores_gemma":[0.9755923,0.01429905,0.003888746,0.002993986,0.001397538,0.001828429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000550419,0.0007299406,0.05773208,0.0004048705,0.0001112957,0.004189165,0.718669,0.008125944,0.008854927,0.07119995,0.00176706,0.1276653],"study_design_scores_gemma":[0.0002776621,0.001603638,0.05696321,0.0006092131,0.0001205749,0.002399354,0.7277674,0.02058509,0.008128623,0.09639618,0.08496819,0.0001808067],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9623613,0.0001268885,0.01838209,0.000593755,0.00003062374,0.00006998061,0.0000154936,0.00005125191,0.01836862],"genre_scores_gemma":[0.9979856,0.00001909814,0.001375497,0.0000160815,0.000005099887,0.00001540059,0.000005568264,0.000004760518,0.0005727776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006988157,"threshold_uncertainty_score":0.03695732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139047971956906,"score_gpt":0.2771627128868287,"score_spread":0.2657722331672596,"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."}}