{"id":"W4416006323","doi":"10.5465/amproc.2025.15328abstract","title":"Female Board Appointments: Examining the Impact of Cross-Border Antecedents","year":2025,"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":"Carleton University","funders":"","keywords":"Shareholder; Stakeholder; Representation (politics); Affect (linguistics); Differential (mechanical device); Differential effects","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":[0.001288903,0.0001438652,0.0002203665,0.0007706544,0.001087372,0.0008580001,0.0003020767,0.0003598443,0.007581667],"category_scores_gemma":[0.006394638,0.00009817089,0.0001949977,0.0006410552,0.0007282291,0.0005623405,0.001303894,0.0006717393,0.0002778961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000663853,"about_ca_system_score_gemma":0.0006973512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136322,"about_ca_topic_score_gemma":0.02832499,"domain_scores_codex":[0.9988717,0.0003175646,0.00004474278,0.0001926125,0.0001428756,0.0004304063],"domain_scores_gemma":[0.9945838,0.001718897,0.002183579,0.0001713441,0.0002206338,0.001121724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001019409,0.0001169676,0.984481,0.00001945725,0.00002035093,0.0002088159,0.003999514,0.00003948394,0.0002882893,0.0007942289,0.0003509131,0.009579194],"study_design_scores_gemma":[0.000002466162,0.00005515009,0.9917726,0.00002104685,0.000009021338,0.00004360252,0.006673435,0.0001011327,0.00010362,0.0001250379,0.001090321,0.000002572393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961225,0.0002144334,0.00009327677,0.0003231705,0.00002314657,0.000007053202,0.00005041122,0.000001212249,0.00316468],"genre_scores_gemma":[0.999311,0.00004475809,0.00002441449,0.00002163491,0.00001285666,0.00000343159,0.00002252599,6.159981e-7,0.0005587769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0136322,"threshold_uncertainty_score":0.02710575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09262524000474875,"score_gpt":0.4359198206560078,"score_spread":0.3432945806512591,"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."}}