{"id":"W2793060619","doi":"10.30634/2414-2077.2016.02.4","title":"Enhancing Firm GHG Reporting: Using Index Numbers to Report Corporate Level Measures of Sustainability","year":2018,"lang":"en","type":"article","venue":"International Journal of Green Technology","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sustainability reporting; Index (typography); Greenhouse gas; Sustainability; Accounting; Business; Corporate sustainability; Integrated reporting; Environmental economics; Economics; Computer 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":[0.001200352,0.0001430016,0.0002807983,0.0004000151,0.0000729556,0.00001467448,0.0006252706,0.000133537,0.000302139],"category_scores_gemma":[0.001678971,0.0001349477,0.00009008604,0.0004546407,0.0005396998,0.0002492928,0.0005258198,0.0002017072,0.00001676543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001261955,"about_ca_system_score_gemma":0.0001504726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00171537,"about_ca_topic_score_gemma":0.0004220806,"domain_scores_codex":[0.9973182,0.00002742728,0.00143369,0.0002367242,0.0007086871,0.0002752608],"domain_scores_gemma":[0.9963127,0.0000239517,0.002970371,0.0002392138,0.0003585625,0.00009514039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001253087,0.00008505244,0.9405251,0.000006943131,0.00009271132,0.0008593186,0.0004620822,0.0004528218,0.03543118,0.00008146794,0.0003098883,0.02156815],"study_design_scores_gemma":[0.0008877763,0.000479364,0.7384506,0.0001064521,0.00004467735,0.00597626,0.003388144,0.0002356635,0.1921074,0.04756732,0.01029612,0.0004601599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986616,0.000009831249,0.01012715,0.002020361,0.0003520456,0.000129248,0.000002040137,0.00001835335,0.0007249801],"genre_scores_gemma":[0.9924126,0.000002537442,0.006528412,0.0001290726,0.0001261233,0.000002629643,0.000001098801,0.00001404753,0.0007835213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2020744,"threshold_uncertainty_score":0.5503007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503733844737595,"score_gpt":0.3150845756344177,"score_spread":0.2600472371870417,"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."}}