{"id":"W4323043007","doi":"10.1177/10596011231160574","title":"Artificial Intelligence and Groups: Effects of Attitudes and Discretion on Collaboration","year":2023,"lang":"en","type":"article","venue":"Group & Organization Management","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Team effectiveness; Discretion; Teamwork; Psychological safety; Psychology; Knowledge management; Team composition; Team learning; Social psychology; Political science; Computer science","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":[0.0001406557,0.00007922995,0.00008189221,0.0001483587,0.00008763331,0.0000368767,0.0000495938,0.0000400206,0.00006170037],"category_scores_gemma":[0.00001505849,0.00007833964,0.000006191781,0.000773243,0.00004078237,0.00007790013,0.00004442803,0.00003575233,0.00006429786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001643878,"about_ca_system_score_gemma":0.000001692406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008441434,"about_ca_topic_score_gemma":0.00001639401,"domain_scores_codex":[0.9993974,0.00003525229,0.0001610851,0.0001996563,0.000109205,0.00009740204],"domain_scores_gemma":[0.9997022,0.00003940983,0.00006854696,0.0001277922,0.00003747737,0.000024604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000513652,0.0001658607,0.03438163,0.0005390077,0.00008261801,0.00001074031,0.003344731,0.00038891,0.0008131894,0.8280562,0.0003329653,0.1318327],"study_design_scores_gemma":[0.0001916945,0.0003600345,0.9881704,0.00008463274,0.00004600368,0.000001359326,0.001338195,0.004307123,0.0007263264,0.00428977,0.000298503,0.0001859204],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.927462,0.0000503783,0.07086393,0.0003162998,0.0004387019,0.0004106909,0.000005253781,0.00009047805,0.0003623098],"genre_scores_gemma":[0.9990783,0.000276426,0.000202801,0.0000669648,0.00003649988,0.00001600983,0.00007437634,0.00001487526,0.000233735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9537888,"threshold_uncertainty_score":0.3194598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01128375574937837,"score_gpt":0.2817495499478068,"score_spread":0.2704657941984284,"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."}}