{"id":"W2792271164","doi":"10.5539/ibr.v11n3p88","title":"Corporate Governance in Bangladesh: Evidence of Compliance","year":2018,"lang":"en","type":"article","venue":"International Business Research","topic":"Insurance and Financial Risk Management","field":"Economics, Econometrics and Finance","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Business; Accounting; Compliance (psychology); Stock exchange; Code of conduct; Code (set theory); Empirical research; Finance; Psychology; Computer science; Political science; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002871608,0.0001164142,0.0001984974,0.001508321,0.0006440912,0.001091693,0.0003453908,0.000416278,0.002247579],"category_scores_gemma":[0.02048396,0.0001608098,0.0001122923,0.003499196,0.001105644,0.000643489,0.001132667,0.0004704967,0.0003204733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021586,"about_ca_system_score_gemma":0.001735784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01197107,"about_ca_topic_score_gemma":0.01501667,"domain_scores_codex":[0.996004,0.001124052,0.0007442908,0.000345746,0.001408697,0.0003731196],"domain_scores_gemma":[0.9558439,0.01038964,0.02461492,0.00191084,0.005860731,0.001379895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002546382,0.00003404024,0.9848465,0.00005312234,0.00001748373,0.0001804002,0.00558399,0.00005985198,0.0002836967,0.0005554587,0.0003041219,0.008055985],"study_design_scores_gemma":[0.000002741365,0.00004854201,0.9900136,0.00003689199,0.000004982904,0.0001674205,0.007542475,0.0001049857,0.0001325218,0.0001293239,0.001808915,0.000007693921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927897,0.0001114254,0.00009017874,0.0004793032,0.00000430073,0.0000210688,0.0002384751,0.000002724632,0.006262926],"genre_scores_gemma":[0.9994103,0.000103669,0.00004205341,0.00002933579,0.000002934685,0.000007962077,0.0001100973,8.05765e-7,0.0002928426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01197107,"threshold_uncertainty_score":0.02380276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2709080366724796,"score_gpt":0.3706322549012201,"score_spread":0.0997242182287405,"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."}}