{"id":"W4400441517","doi":"10.5465/amproc.2024.14354symposium","title":"Challenges and Opportunities for Organizations to Increase Representation","year":2024,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Kellogg's (Canada)","funders":"","keywords":"Representation (politics); Business; Knowledge management; Computer science; Process management; Political science; Politics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002255566,0.00009066317,0.0001001999,0.0003977247,0.00007298925,0.0001278875,0.0001331005,0.00006108551,0.00001508656],"category_scores_gemma":[0.00004803385,0.00008921137,0.0000194285,0.0003015425,0.00003317379,0.001718893,0.0001303949,0.00005490283,0.00002076233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009658963,"about_ca_system_score_gemma":0.000003248849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005745248,"about_ca_topic_score_gemma":5.771084e-7,"domain_scores_codex":[0.99936,4.928356e-7,0.0002080665,0.0001790164,0.0001261017,0.0001263355],"domain_scores_gemma":[0.9997716,0.00001282566,0.00008745315,0.00003098496,0.0000884235,0.000008710451],"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":[0.000009454271,0.000006598418,0.00004479581,0.001101677,0.00003038798,4.812413e-7,0.0001427984,0.000001459585,0.00005085858,0.853309,0.02418176,0.1211207],"study_design_scores_gemma":[0.0003542607,0.00002473112,0.007999836,0.0002979449,0.0001541684,0.00000307482,0.008070601,0.002020166,0.0006798878,0.0700018,0.9101321,0.0002614084],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3360201,0.002359584,0.002353701,0.125972,0.0002326654,0.002215929,0.00001209318,0.001146241,0.5296878],"genre_scores_gemma":[0.9923226,0.002127491,0.0006159825,0.002648281,0.0002015536,0.0001285452,0.00001021261,0.0000180819,0.001927307],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8859504,"threshold_uncertainty_score":0.3637934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06648191253719264,"score_gpt":0.2807888738834963,"score_spread":0.2143069613463037,"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."}}