{"id":"W4385223212","doi":"10.5465/amproc.2023.14284symposium","title":"Networks and Diversity in the New Era of Organizational Teams","year":2023,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Diversity (politics); Intrapersonal communication; Function (biology); Perspective (graphical); Team composition; Value (mathematics); Knowledge management; Globalization; Sociology; Public relations; Psychology; Political science; Social psychology; Interpersonal communication; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003380805,0.0002163488,0.0003648371,0.001812879,0.003914232,0.007274883,0.0006460528,0.001191281,0.003457997],"category_scores_gemma":[0.00733004,0.0002351533,0.0002746958,0.001909859,0.008344889,0.01148553,0.006339931,0.001770459,0.0001618992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002588011,"about_ca_system_score_gemma":0.001261098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002171864,"about_ca_topic_score_gemma":0.002437849,"domain_scores_codex":[0.9972007,0.001644786,0.0000646605,0.0003442147,0.0004846469,0.000260937],"domain_scores_gemma":[0.9928076,0.004221625,0.001157119,0.0003081812,0.0003212266,0.001184187],"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":[0.00008353245,0.00004034668,0.02169602,0.0002172497,0.00004340311,0.0003772325,0.05286953,0.002038303,0.000476001,0.8477446,0.005351933,0.06906178],"study_design_scores_gemma":[0.00003241388,0.000109379,0.03807377,0.0004333998,0.00003868177,0.0004575864,0.04779978,0.003334425,0.0002519817,0.7938432,0.1155732,0.00005210491],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.6257318,0.02592105,0.0281898,0.078681,0.0009594827,0.0000733999,0.0001862774,0.00007465197,0.2401824],"genre_scores_gemma":[0.9908227,0.003751759,0.001577087,0.0008410842,0.0002913459,0.00003184424,0.00002210132,0.00001057057,0.002651457],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.007274883,"threshold_uncertainty_score":0.01877737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06509491321210895,"score_gpt":0.2843542928569169,"score_spread":0.219259379644808,"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."}}