{"id":"W4386298303","doi":"10.1007/978-3-031-42463-2_29","title":"Big Data Analytics and Sustainability Accounting and Reporting: Evidence from Canada","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in big data","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Seneca Polytechnic","funders":"","keywords":"Big data; Sustainability reporting; Sustainability; Business; Accounting; Profitability index; Stock exchange; Analytics; Integrated reporting; Perspective (graphical); Finance; Data science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003588791,0.0003953119,0.0005860142,0.003531608,0.008797219,0.007678967,0.001997698,0.0009996702,0.006060706],"category_scores_gemma":[0.02619653,0.0005060886,0.0005769083,0.01690967,0.003225063,0.00178155,0.002262471,0.002047016,0.0003833268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1135355,"about_ca_system_score_gemma":0.3086994,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.999294,"about_ca_topic_score_gemma":0.9996773,"domain_scores_codex":[0.9953459,0.000375718,0.0001979606,0.0003007648,0.002693603,0.001086121],"domain_scores_gemma":[0.9619548,0.007354323,0.003172197,0.000872403,0.02271473,0.003931495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006794487,0.0003428795,0.7223352,0.0008566025,0.0003138264,0.0009447652,0.02004366,0.001676499,0.0003206044,0.0311767,0.1051563,0.1161536],"study_design_scores_gemma":[0.00008694798,0.00005865161,0.8686553,0.001486553,0.0002952357,0.000174388,0.0494424,0.00160224,0.0005409948,0.00306171,0.07443401,0.0001615074],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8331345,0.02437687,0.0006303951,0.03946247,0.0003259614,0.0001702306,0.01401605,0.00007611165,0.08780741],"genre_scores_gemma":[0.9574694,0.01819513,0.0008837545,0.00212145,0.00005855706,0.000050091,0.003609444,0.00005366543,0.01755846],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1135355,"threshold_uncertainty_score":0.8237614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5593149725944532,"score_gpt":0.3930947345811395,"score_spread":0.1662202380133137,"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."}}