{"id":"W7162404257","doi":"10.65521/ijasret.v9i5.1574","title":"Enhancing Workplace Productivity through Real-Time Machine Learning-Based Feedback Systems","year":2025,"lang":"","type":"article","venue":"International Journal of Advance Scientific Research and Engineering Trends","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Workflow; Productivity; Production (economics); Automation; Competence (human resources); Identification (biology); Industry 4.0","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":[0.0008921998,0.000691703,0.0003628191,0.0005922178,0.0003338588,0.001085966,0.000843704,0.0005180301,0.002769536],"category_scores_gemma":[0.003930612,0.0001563585,0.0002134621,0.0003059495,0.0002412307,0.0009728113,0.001058336,0.0004515798,0.00100004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003882926,"about_ca_system_score_gemma":0.0005631297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001162486,"about_ca_topic_score_gemma":0.001110871,"domain_scores_codex":[0.9992483,0.0001450865,0.00004074926,0.0001563247,0.0003295267,0.00007996836],"domain_scores_gemma":[0.9985623,0.0006127072,0.0002044189,0.0001230855,0.0004080971,0.00008954074],"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":[0.0006055323,0.0008530061,0.00436695,0.0003170558,0.00003549971,0.0002342637,0.0008122689,0.04163489,0.09486935,0.001911484,0.002811936,0.8515478],"study_design_scores_gemma":[0.0002013557,0.001907066,0.01525507,0.0001491223,0.0001138659,0.0002864848,0.0005901566,0.8720254,0.08551433,0.006206751,0.0176434,0.0001070457],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1611876,0.0005086644,0.8204596,0.0004843061,0.0001810663,0.0002112469,0.0001048228,0.006581007,0.01028172],"genre_scores_gemma":[0.935407,0.000177139,0.06145862,0.00007436386,0.00005023147,0.00009947691,0.00006923658,0.00007805708,0.002585922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002769536,"threshold_uncertainty_score":0.009265006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02144472236418504,"score_gpt":0.3125020685371792,"score_spread":0.2910573461729942,"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."}}