{"id":"W3092798769","doi":"10.1002/hrm.22042","title":"<scp>Trickle‐down</scp> and <scp>bottom‐up</scp> effects of women's representation in the context of industry gender composition: A panel data investigation","year":2020,"lang":"en","type":"article","venue":"Human Resource Management","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Context (archaeology); Panel data; Psychology; Composition (language); Developmental psychology; Social psychology; Geography; Economics; Econometrics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001558028,0.0001233765,0.0002304586,0.0001179763,0.0003261201,0.00007880835,0.0006612105,0.0001284298,0.00001174421],"category_scores_gemma":[0.0003099192,0.0001180737,0.00003616359,0.0005562241,0.0003568283,0.0002208492,0.0004695533,0.0002768689,0.000005387898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007992213,"about_ca_system_score_gemma":0.00002379538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006331886,"about_ca_topic_score_gemma":0.00004123919,"domain_scores_codex":[0.9974124,0.0009355961,0.0003285876,0.0003819773,0.0006582025,0.0002832478],"domain_scores_gemma":[0.9986302,0.0004926795,0.0002813441,0.0004161054,0.00004969369,0.0001299602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001322718,0.0002448241,0.08082082,0.001317566,0.0002214288,0.0000399519,0.8285798,0.0001053622,0.0006958136,0.04919548,0.03713578,0.00162989],"study_design_scores_gemma":[0.001427908,0.0001283981,0.2847096,0.00007223328,0.0001143705,5.128145e-7,0.6895339,0.000143246,0.0005338219,0.00197516,0.02130124,0.00005961957],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838397,0.0001004506,0.0000956761,0.0005926031,0.00003740946,0.0007300909,0.00001406843,0.00002805647,0.01456194],"genre_scores_gemma":[0.9980617,0.00003728017,0.00007094464,0.00134845,0.00007211485,0.00001974447,0.00008746738,0.000006404546,0.0002959348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2038888,"threshold_uncertainty_score":0.4814904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1785079532158932,"score_gpt":0.3098116420456046,"score_spread":0.1313036888297114,"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."}}