{"id":"W2851903162","doi":"10.5465/ambpp.2018.15066symposium","title":"Women on Boards, Selection Processes &amp; Dynamics: Pushing Boundaries with New Research Approaches","year":2018,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Composition (language); Public relations; Unintended consequences; Representation (politics); Selection (genetic algorithm); Proxy (statistics); Corporate governance; Dynamics (music); Empirical research; Political science; Sociology; Accounting; Management; Business; Computer science; Economics; Epistemology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05769609,0.000974475,0.001292488,0.006904885,0.01184058,0.0230619,0.003437759,0.004142019,0.007909506],"category_scores_gemma":[0.03465645,0.0008063033,0.0009451025,0.006729543,0.06777771,0.0464277,0.01383742,0.007569049,0.0008919754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01286323,"about_ca_system_score_gemma":0.01260015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005054811,"about_ca_topic_score_gemma":0.006800517,"domain_scores_codex":[0.9647335,0.02768149,0.0006183666,0.002673315,0.002632306,0.001660874],"domain_scores_gemma":[0.9215664,0.06583734,0.003144803,0.00346106,0.002918585,0.003071757],"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":[0.00005746546,0.00009632155,0.005046804,0.0008080934,0.00002689053,0.0001768778,0.2410979,0.0002450881,0.0002131805,0.6615156,0.007210039,0.08350578],"study_design_scores_gemma":[0.00002514316,0.0001039207,0.004096596,0.002632361,0.00003327264,0.0001673665,0.2982764,0.000625262,0.0003572734,0.4380594,0.2555744,0.00004865184],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.1337719,0.1456261,0.05706856,0.5019704,0.006439205,0.0003511773,0.0001878405,0.00009559193,0.1544894],"genre_scores_gemma":[0.8025219,0.1006338,0.02866885,0.03579646,0.00555946,0.0008327031,0.0001045246,0.0001766066,0.02570559],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05769609,"threshold_uncertainty_score":0.3051297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09152093649182384,"score_gpt":0.2781692570045756,"score_spread":0.1866483205127517,"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."}}