{"id":"W4400403281","doi":"10.1002/hrm.22244","title":"Gender promotion gaps across business units in a multiunit organization: Supply‐ and demand‐side drivers","year":2024,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Fonds de recherche du Québec; Ministerio de Ciencia e Innovación","keywords":"Promotion (chess); Relevance (law); Business; Marketing; Order (exchange); Unit (ring theory); Supply and demand; Demographic economics; Labour economics; Economics; Microeconomics; Psychology; Political science; Finance","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007562176,0.0001066877,0.0001012444,0.0001452992,0.0007258455,0.0003013423,0.0001842164,0.00006958709,0.0002893338],"category_scores_gemma":[0.00003947323,0.0001165021,0.0000139328,0.001454066,0.000153128,0.0002095308,0.0002446622,0.0001046166,0.00005016864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406624,"about_ca_system_score_gemma":0.00002730397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005987702,"about_ca_topic_score_gemma":0.001292653,"domain_scores_codex":[0.9987243,0.0001979864,0.0001499532,0.0003151527,0.0003195928,0.0002930222],"domain_scores_gemma":[0.9996146,0.0000226719,0.00003142267,0.0001382903,0.0001173388,0.00007570314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00001809576,0.0003225858,0.1755902,0.001573701,0.0002110528,0.0005076109,0.5263909,0.0008220797,0.0001110854,0.2690541,0.0116459,0.01375271],"study_design_scores_gemma":[0.0008171229,0.00002657188,0.574815,0.0001977533,0.00006879318,0.000001942378,0.1694309,0.00007008352,0.00003907304,0.001591754,0.252555,0.0003859929],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9608325,0.0001347011,0.0005237046,0.001146376,0.000105764,0.0004673202,0.000008920918,0.0001763531,0.0366044],"genre_scores_gemma":[0.9942511,0.000103183,0.00007794303,0.0001040284,0.00007185983,0.00000616902,0.00004903243,0.00001137859,0.005325333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3992248,"threshold_uncertainty_score":0.558269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09532140916128498,"score_gpt":0.3067716131892183,"score_spread":0.2114502040279333,"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."}}