{"id":"W4414713809","doi":"10.71235/rmee.208","title":"DIGITALIZATION OF HUMAN RESOURCES MANAGEMENT THROUGH MIT APP INVENTOR (I): FACILITIES FOR CREATING ACCOUNTS AND REGISTERING TASKS","year":2025,"lang":"en","type":"article","venue":"Review of Management and Economic Engineering","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Human resource management; Task (project management); Human resources; Productivity; Human resource management system; Mobile apps; Systematic review","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":[0.008085795,0.0004920948,0.0009192164,0.01690776,0.0004544896,0.002246381,0.0007714072,0.0007187082,0.01156049],"category_scores_gemma":[0.03537744,0.0003181752,0.001475889,0.01051738,0.000726229,0.002865453,0.002206884,0.0006952801,0.001090851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001303594,"about_ca_system_score_gemma":0.004783875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638583,"about_ca_topic_score_gemma":0.008429868,"domain_scores_codex":[0.9940082,0.002936974,0.001203773,0.0003682747,0.001353703,0.0001291468],"domain_scores_gemma":[0.9427657,0.04790284,0.0047273,0.001507571,0.002765682,0.0003309129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001495708,0.00004587903,0.004617022,0.1508046,0.0005523404,0.0001667102,0.001489199,0.0002074319,0.0006915425,0.005260797,0.01172018,0.8242947],"study_design_scores_gemma":[0.0001504473,0.0004650558,0.04259664,0.2713761,0.003972984,0.001188437,0.002655875,0.0003080491,0.002641391,0.00364833,0.6708803,0.0001163898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.023192,0.9132863,0.008599969,0.00372274,0.0008257843,0.001527667,0.01049339,0.0003017081,0.03805038],"genre_scores_gemma":[0.1339904,0.8186204,0.0320715,0.001894566,0.0007068469,0.003805557,0.004415651,0.00006465125,0.004430467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01690776,"threshold_uncertainty_score":0.04276234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03327627660521926,"score_gpt":0.2614886297782079,"score_spread":0.2282123531729887,"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."}}