{"id":"W4409837045","doi":"10.22214/ijraset.2025.68867","title":"AI Workroom: An Intelligent Platform for AI-Enhanced Meeting Experiences","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Department of Artificial Intelligence, Korea University","keywords":"Computer science; Artificial intelligence","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":[],"consensus_categories":[],"category_scores_codex":[0.002696433,0.0001206132,0.0001433275,0.00295675,0.0004194656,0.000873472,0.001485915,0.0001012983,0.00001099478],"category_scores_gemma":[0.0009012613,0.0001073401,0.00002509663,0.001869826,0.0004170657,0.001121283,0.000426431,0.0004442448,0.00000394249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643142,"about_ca_system_score_gemma":0.0001381384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002309142,"about_ca_topic_score_gemma":0.00002032395,"domain_scores_codex":[0.99821,0.000001533279,0.000315055,0.0003645982,0.0005552997,0.0005535472],"domain_scores_gemma":[0.9986017,0.0001089433,0.00006226695,0.0001552263,0.00104703,0.0000248761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000197122,0.0000872743,0.0003335596,0.0000976358,0.000021728,0.000005442143,0.0002035895,0.001562809,0.04654936,0.6671522,0.00116588,0.2826234],"study_design_scores_gemma":[0.001066073,0.00008798203,0.0002465338,0.0007435509,0.00001019436,0.00002905696,0.008037703,0.3132913,0.06744058,0.3560902,0.2524463,0.0005104629],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5458562,0.0003182529,0.4241191,0.02090392,0.004306464,0.001260543,0.000005637586,0.0002463225,0.00298353],"genre_scores_gemma":[0.9958134,0.00005087149,0.00290634,0.0004675528,0.0003671724,0.0003506156,0.00000437286,0.000009743111,0.00002988938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4499572,"threshold_uncertainty_score":0.8422911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1062695579533135,"score_gpt":0.4231957179997347,"score_spread":0.3169261600464212,"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."}}