{"id":"W3034001844","doi":"10.3390/su12114740","title":"Technology-enhanced Auditing in Voluntary Sustainability Standards: The Impact of COVID-19","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":94,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Certification; Audit; Business; Sustainability; Coronavirus disease 2019 (COVID-19); Work (physics); Accounting; Public relations; Engineering; Political science; Economics; Management; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.02921451,0.0001468926,0.0002058721,0.0008559227,0.007283297,0.008071007,0.001053863,0.002023345,0.002040196],"category_scores_gemma":[0.05168243,0.0002149088,0.0002159019,0.00168978,0.01370829,0.004762867,0.007511985,0.004284199,0.0001773502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00880568,"about_ca_system_score_gemma":0.0100114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01024331,"about_ca_topic_score_gemma":0.01097462,"domain_scores_codex":[0.9521301,0.03458001,0.001111867,0.001338511,0.007535797,0.003303695],"domain_scores_gemma":[0.9358744,0.04309096,0.007096931,0.003986365,0.006739937,0.003211296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001083031,0.0003063426,0.06578068,0.0003070186,0.00001764836,0.001152269,0.6720655,0.0009937907,0.002875077,0.153319,0.006363315,0.09671114],"study_design_scores_gemma":[0.00001369436,0.0002900088,0.04080319,0.0005170446,0.000009252283,0.0004668391,0.8135325,0.001326211,0.00225002,0.01349031,0.1272273,0.00007367568],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9372615,0.0003730172,0.002842368,0.01783681,0.000106174,0.00008188156,0.00001743374,0.00001932658,0.04146144],"genre_scores_gemma":[0.9970295,0.00008958561,0.0003167815,0.0008940323,0.00001165983,0.00001367869,0.000007310171,0.000006177447,0.001631184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02921451,"threshold_uncertainty_score":0.154503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01751786764778311,"score_gpt":0.3158692005757599,"score_spread":0.2983513329279768,"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."}}