{"id":"W7133356592","doi":"10.65521/ijeecs.v13i1.65","title":"Natural Language Generation Systems for Automated Content Creation","year":2025,"lang":"","type":"article","venue":"International Journal of Electrical Electronics and Computer Systems","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Leverage (statistics); Natural language generation; Adaptation (eye); Content (measure theory); Natural language; Key (lock); Controllability; Text generation","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":[0.003626593,0.0008051743,0.0005035035,0.001294648,0.0006649253,0.001950349,0.001595425,0.001287337,0.01250694],"category_scores_gemma":[0.01491879,0.0004476093,0.0008777404,0.0009238938,0.0008769655,0.003010127,0.002297933,0.001699437,0.006676947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009125294,"about_ca_system_score_gemma":0.001405607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661989,"about_ca_topic_score_gemma":0.001949677,"domain_scores_codex":[0.9977292,0.001125913,0.0001766247,0.0004161125,0.0004726083,0.00007951229],"domain_scores_gemma":[0.9926482,0.004542924,0.0003744009,0.001268915,0.001009306,0.000156317],"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":[0.0002706678,0.0002551458,0.002125714,0.001131859,0.000126435,0.0004976698,0.001262889,0.06857441,0.03240227,0.1137942,0.05918825,0.7203705],"study_design_scores_gemma":[0.00009081356,0.0001119973,0.0005432843,0.0001874926,0.00005039428,0.0004043187,0.0002450289,0.7211589,0.02087608,0.1498664,0.1063905,0.00007490338],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003331432,0.0004043367,0.9818823,0.000626452,0.0001725633,0.000266934,0.0004963671,0.009215228,0.003604366],"genre_scores_gemma":[0.1072405,0.0009118948,0.8804497,0.0004878219,0.0002061809,0.0007911949,0.002926405,0.001683958,0.005302367],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01250694,"threshold_uncertainty_score":0.04183984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872378971481812,"score_gpt":0.2858973520119067,"score_spread":0.2671735622970886,"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."}}