{"id":"W7132548798","doi":"","title":"性别多样化为什么重要? 中国上市公司中的性别多样性和欺诈行为现状","year":2019,"lang":"","type":"article","venue":"CEIBS Institutional Repository","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Diversity (politics); Work (physics); Natural (archaeology); Interpretation (philosophy)","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":[0.005926174,0.0003898693,0.0004996881,0.002933056,0.006898953,0.01726342,0.000945229,0.002989955,0.009391902],"category_scores_gemma":[0.0113287,0.0002983408,0.0005595509,0.002842345,0.01891771,0.01316968,0.002931378,0.003352567,0.001117497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01173735,"about_ca_system_score_gemma":0.01061202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0193691,"about_ca_topic_score_gemma":0.01860314,"domain_scores_codex":[0.9957837,0.002091697,0.0001725557,0.0005273646,0.0007959399,0.0006287462],"domain_scores_gemma":[0.9944771,0.002604038,0.0007766462,0.0002440949,0.001175305,0.0007227995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006067592,0.00005260506,0.007970023,0.0001678798,0.00002792028,0.0002048603,0.0282343,0.0003579586,0.0001684868,0.912603,0.01486067,0.03529161],"study_design_scores_gemma":[0.0000480106,0.00006240718,0.01519696,0.001040255,0.00006156658,0.0002736711,0.07952812,0.001088152,0.0007118052,0.6892198,0.2127082,0.0000610411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1605464,0.02329323,0.006420289,0.2006162,0.001044345,0.00008730871,0.0003276177,0.00006445432,0.6076003],"genre_scores_gemma":[0.9751999,0.005181519,0.001485609,0.003778558,0.0002419722,0.00005641978,0.00006027291,0.00002429984,0.01397156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0193691,"threshold_uncertainty_score":0.08516079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01087152601759035,"score_gpt":0.2244361674439205,"score_spread":0.2135646414263301,"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."}}