{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005888983,0.0003441279,0.0003261621,0.0005525289,0.000657864,0.00003404827,0.0004066518,0.0004347813,0.0001053983],"category_scores_gemma":[0.0001900795,0.0003337605,0.00006076193,0.0007627122,0.0002159501,0.001800267,0.0001997521,0.001008299,0.0007079669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003177918,"about_ca_system_score_gemma":0.00003168424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645348,"about_ca_topic_score_gemma":0.0003211987,"domain_scores_codex":[0.9980878,0.0001031443,0.0006665178,0.0003685915,0.0002263443,0.0005476428],"domain_scores_gemma":[0.9989172,0.00009540658,0.0002020138,0.0005346684,0.0001477364,0.0001030362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001403563,0.0001838126,0.01415531,0.00003414759,0.0000287869,0.00001279333,0.0002457562,0.00002647436,0.0004677108,0.1693018,0.00002153941,0.8153815],"study_design_scores_gemma":[0.006751527,0.002104854,0.4709114,0.0004249873,0.00005373913,0.001113178,0.005972181,0.006199795,0.006889905,0.007272192,0.489702,0.002604293],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9247075,0.000206998,0.00000461542,0.00003804609,0.000571047,0.0003371892,0.0001306937,0.0003686284,0.07363534],"genre_scores_gemma":[0.9975203,0.0005904315,0.0002486792,0.0001428997,0.00001677547,0.0001217663,0.00006167372,0.00003318928,0.001264253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8127772,"threshold_uncertainty_score":0.9999114,"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."}}