{"id":"W4308314555","doi":"10.54691/bcpbm.v31i.2257","title":"Preface: 2nd International Conference on Economic Management and Corporate Governance (EMCG 2022)","year":2022,"lang":"en","type":"article","venue":"BCP Business & Management","topic":"Security, Politics, and Digital Transformation","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Government (linguistics); Session (web analytics); Political science; Order (exchange); Public relations; Library science; Management; Business; Computer science; World Wide Web; Economics","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":[0.004888149,0.001925216,0.001323198,0.002835137,0.002654029,0.01416434,0.002164265,0.00451212,0.2212295],"category_scores_gemma":[0.008818054,0.0004124042,0.001038807,0.002329099,0.0009356135,0.005621825,0.004169116,0.007060391,0.1332173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003762158,"about_ca_system_score_gemma":0.004796815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004063386,"about_ca_topic_score_gemma":0.004594852,"domain_scores_codex":[0.9972829,0.0004305324,0.0001637481,0.000416689,0.001266174,0.0004400125],"domain_scores_gemma":[0.9925891,0.0006482432,0.000250226,0.0003472199,0.00342423,0.002740951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000215963,0.00001585629,0.00004169633,0.00008657941,0.000002215408,0.00002544794,0.00004288514,0.00003947887,0.00009637293,0.001517628,0.9843658,0.01374452],"study_design_scores_gemma":[0.000005954673,0.00001295794,0.0003044199,0.0001794764,0.000002406158,0.0000344343,0.00007614999,0.00005177436,0.0000593904,0.000826961,0.9984378,0.00000818531],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001406934,0.03714014,0.004240196,0.07970913,0.6110258,0.0007954437,0.003901557,0.0008885543,0.2608923],"genre_scores_gemma":[0.01118041,0.02238007,0.002606021,0.01582509,0.127619,0.000759038,0.006334719,0.001228489,0.8120672],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.2212295,"threshold_uncertainty_score":0.7400863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05100314511361467,"score_gpt":0.283437178752366,"score_spread":0.2324340336387513,"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."}}