{"id":"W4411565935","doi":"10.56025/ijaresm.2025.1304254828","title":"Intelligent What-If Analysis for Configuration Changes in HR Cloud and Integrated Modules","year":2025,"lang":"en","type":"article","venue":"International Journal of All Research Education & Scientific Methods","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Cloud computing; Computer science; Systems engineering; Database; Operating system; Engineering","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":[0.004282462,0.0009641079,0.000703012,0.002713681,0.001146755,0.005339869,0.001102574,0.0007913404,0.008253807],"category_scores_gemma":[0.01762852,0.000312331,0.001041656,0.00135033,0.0009861487,0.003883025,0.001218952,0.001169423,0.00120451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002445317,"about_ca_system_score_gemma":0.002465077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006895265,"about_ca_topic_score_gemma":0.007891439,"domain_scores_codex":[0.9952567,0.001274757,0.0003004208,0.000878024,0.001738333,0.0005517004],"domain_scores_gemma":[0.9872342,0.005580291,0.002028376,0.002455574,0.002284605,0.000417043],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002129683,0.001035153,0.173915,0.0007979025,0.0004160965,0.0010553,0.001828166,0.2729902,0.02081811,0.05730644,0.0108232,0.4568847],"study_design_scores_gemma":[0.00003952445,0.0003992894,0.04576597,0.0001743759,0.0001429255,0.0003406909,0.001356756,0.8807924,0.02445626,0.03730082,0.009128593,0.000102366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.4778719,0.0004899467,0.4702224,0.001278145,0.0002022856,0.0011937,0.002675865,0.009482241,0.03658349],"genre_scores_gemma":[0.9355287,0.00008597706,0.06058512,0.0001751305,0.000027462,0.0001689851,0.001050701,0.0002948122,0.002083099],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008253807,"threshold_uncertainty_score":0.02761173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2669439252904541,"score_gpt":0.5241726675354372,"score_spread":0.2572287422449832,"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."}}