{"id":"W3155337240","doi":"","title":"ANALYSIS OF ENVIRONMENTAL MANAGEMENT ACCOUNTING REPORTING IN CREATING SUSTAINABLE DEVELOPMENT","year":2020,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental full-cost accounting; Cost accounting; Environmental accounting; Management accounting; Accounting; Data collection; Sustainable development; Matching (statistics); Business; Environmental data; Environmental resource management; Accounting information system; Accounting management; Economics; Throughput accounting; Statistics; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005912419,0.00007208005,0.0002180136,0.0003384912,0.0000348515,0.00008924104,0.0001818857,0.00001834694,0.00002442845],"category_scores_gemma":[0.0001085734,0.00007715407,0.00007073917,0.0001493462,0.00002062101,0.00050858,0.0001815263,0.00006984766,9.711379e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005374446,"about_ca_system_score_gemma":0.00001714618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004425073,"about_ca_topic_score_gemma":0.00001098248,"domain_scores_codex":[0.9987032,0.000002558176,0.0009872664,0.000121667,0.00008180431,0.0001035196],"domain_scores_gemma":[0.9979684,0.0000220586,0.001890216,0.00004220921,0.00007067362,0.000006447278],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009324268,0.00005962323,0.9084218,0.00004795823,0.0003541677,0.0001611237,0.000356441,0.01046585,0.00008797718,0.005689392,0.00001186178,0.07425061],"study_design_scores_gemma":[0.0004503981,0.000005083759,0.9610906,0.00006075427,0.0001436366,0.000005064828,0.0009524336,0.02069239,0.00005609377,0.0001575511,0.01626147,0.0001245394],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980227,0.0001036913,0.00007026431,0.0002101789,0.00007638361,0.00004119754,0.000001062731,0.000001836814,0.001472626],"genre_scores_gemma":[0.998365,0.0002343807,0.001039262,0.0002371748,0.00008209654,0.000001488492,0.000002888503,0.000005139349,0.00003251391],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07412606,"threshold_uncertainty_score":0.3146252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01325471058691972,"score_gpt":0.2192008482928682,"score_spread":0.2059461377059485,"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."}}