{"id":"W2274476326","doi":"10.82308/31615","title":"Information technologies, knowledge integration, and performance in virtual teams","year":2008,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Knowledge management; Knowledge integration; Virtual team; Computer science; Set (abstract data type); Key (lock); Extant taxon; Identification (biology); Conceptual model; Knowledge 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":[0.009565799,0.0005313602,0.0005063521,0.003519685,0.004490963,0.01473309,0.0009503926,0.001365809,0.002445711],"category_scores_gemma":[0.0294875,0.0002079231,0.0003624499,0.0044646,0.006438761,0.008902182,0.006939394,0.001359156,0.0004237761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002607616,"about_ca_system_score_gemma":0.002178679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003041685,"about_ca_topic_score_gemma":0.001520323,"domain_scores_codex":[0.9895732,0.006557523,0.0005939783,0.0005561379,0.001752948,0.0009662458],"domain_scores_gemma":[0.9782442,0.01333544,0.004189274,0.0007067448,0.001333872,0.002190498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005237377,0.003958015,0.2900187,0.000979017,0.0004442239,0.001310708,0.2661031,0.01152696,0.001373177,0.1576512,0.007016264,0.2590948],"study_design_scores_gemma":[0.0001661618,0.002025095,0.332552,0.001406018,0.0003799482,0.001127712,0.4599889,0.01861968,0.003004751,0.1425268,0.03797159,0.0002312586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304193,0.001573416,0.00240732,0.002536282,0.00006647757,0.00007250252,0.00002889696,0.00002173189,0.06287415],"genre_scores_gemma":[0.9981616,0.0004106136,0.0004745406,0.0000761409,0.00001873716,0.00002354124,0.00001361875,0.000004627514,0.0008165809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01473309,"threshold_uncertainty_score":0.05058938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140756867892034,"score_gpt":0.2406623380362972,"score_spread":0.2265866512470938,"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."}}