{"id":"W2835760690","doi":"10.5465/ambpp.2018.11078abstract","title":"Cognition, Network Structure, and Learning in Top Managers’ Interpersonal Networks","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Conservatism; Interpersonal communication; Compromise; Variety (cybernetics); Cognition; Psychology; Computer science; Business; Knowledge management; Cognitive psychology; Social psychology; Artificial intelligence; Sociology; Political 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008310536,0.0002536044,0.0002654878,0.0006547595,0.0002399987,0.0002096113,0.0003072367,0.0001222335,0.0002006861],"category_scores_gemma":[0.00004023193,0.0002620373,0.00004288469,0.001461566,0.0001922131,0.0008954835,0.0006141013,0.0004120255,0.00004498655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002868172,"about_ca_system_score_gemma":0.000002013471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008804115,"about_ca_topic_score_gemma":0.000005337166,"domain_scores_codex":[0.9982727,0.000006789485,0.0004948708,0.0004666927,0.0002904345,0.0004684982],"domain_scores_gemma":[0.9994274,0.00001790168,0.0003421307,0.00005143868,0.0001447681,0.00001632235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001247267,0.00004769378,0.03561398,0.0007115807,0.0001268605,0.000003189488,0.0001889775,0.00004250792,0.00003678118,0.9073209,0.01769994,0.03808291],"study_design_scores_gemma":[0.004877076,0.0001286612,0.2260505,0.001479249,0.0004920423,0.000006719991,0.006702095,0.0643518,0.0001766916,0.09404828,0.6000197,0.001667225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2763715,0.0001637076,0.000601265,0.002166803,0.0003902492,0.0009133031,6.084991e-7,0.0002579288,0.7191346],"genre_scores_gemma":[0.990654,0.00005142895,0.0007864271,0.005408884,0.001491218,0.00002555992,0.00001122793,0.00003285406,0.001538412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8132726,"threshold_uncertainty_score":0.9999832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283323107228959,"score_gpt":0.2323923960600303,"score_spread":0.2195591649877407,"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."}}