{"id":"W4413752691","doi":"10.32628/shisrrj2472145","title":"Developing Scalable Compliance Architectures for Cross-Industry Regulatory Alignment","year":2024,"lang":"en","type":"article","venue":"Shodhshauryam International Scientific Refereed Research","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Energy; JDA Software (Canada)","funders":"","keywords":"Compliance (psychology); Scalability; Business; Computer science; Psychology; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004145184,0.000225302,0.0002124772,0.001373539,0.001139704,0.005633136,0.001185483,0.0002020331,0.0005949812],"category_scores_gemma":[0.0005083968,0.0001896137,0.0001712297,0.001849407,0.0004698992,0.0005781905,0.0005126424,0.0006759869,0.0004813311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000320623,"about_ca_system_score_gemma":0.0002813437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002203479,"about_ca_topic_score_gemma":0.00007574191,"domain_scores_codex":[0.9959521,0.00002517954,0.0004645867,0.001043997,0.001792522,0.0007215802],"domain_scores_gemma":[0.997264,0.0001854713,0.00008534281,0.0004186854,0.002005205,0.0000412738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003856887,0.0003792085,0.01298421,0.004107246,0.0007758538,0.00007153074,0.0002953061,0.03331431,0.01604918,0.6301176,0.1418017,0.1597182],"study_design_scores_gemma":[0.0003854257,0.000007676879,0.003482491,0.0009270901,0.00003023948,0.000005808302,0.0001995974,0.4165717,0.001675794,0.09751676,0.4787467,0.0004507579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9082937,0.001194224,0.02497068,0.01842527,0.008176761,0.0009714796,0.00009346027,0.0006656165,0.03720877],"genre_scores_gemma":[0.9668849,0.000005116906,0.001334954,0.0002556382,0.002318417,0.0001730973,0.0002073194,0.00004770641,0.02877285],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5326008,"threshold_uncertainty_score":0.9953991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2159042288638846,"score_gpt":0.4284802055773213,"score_spread":0.2125759767134368,"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."}}