{"id":"W2585961648","doi":"10.5465/ambpp.2015.10349abstract","title":"Development and outcomes of status configurations in cross-functional teams across episodes","year":2015,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Variety (cybernetics); Process (computing); Team composition; Psychology; Knowledge management; Computer science; Social psychology; Artificial intelligence","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":[0.004270683,0.000198164,0.0002342399,0.001644324,0.001764954,0.003173472,0.0005316242,0.000688613,0.002610912],"category_scores_gemma":[0.03459547,0.0001746381,0.000220741,0.0009318361,0.001721685,0.001935256,0.003596346,0.000689862,0.000250621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001405335,"about_ca_system_score_gemma":0.0006575393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003018711,"about_ca_topic_score_gemma":0.003612644,"domain_scores_codex":[0.9973266,0.001166255,0.0002183374,0.0002958776,0.0005847266,0.000408206],"domain_scores_gemma":[0.9785009,0.006676799,0.006732112,0.001649012,0.00267547,0.003765623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004410376,0.0004834528,0.9165897,0.00005309895,0.00007308059,0.0004086898,0.03234641,0.001180672,0.002468049,0.004562719,0.0003726251,0.04102045],"study_design_scores_gemma":[0.0000115888,0.0002578905,0.9748707,0.00002389761,0.00001690314,0.00010766,0.01878993,0.001416937,0.0004537157,0.003461154,0.0005675856,0.00002211089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970263,0.0000238235,0.000552505,0.00008268633,0.00000446074,0.00001570769,0.00002767443,0.000007686633,0.002259182],"genre_scores_gemma":[0.9996439,0.000006049408,0.000161765,0.000003985516,0.000001564622,0.000007703927,0.00003378565,0.000001767864,0.0001393972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004270683,"threshold_uncertainty_score":0.02258581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0480645076518976,"score_gpt":0.3593628526165465,"score_spread":0.3112983449646489,"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."}}