{"id":"W4408295007","doi":"10.22214/ijraset.2025.67226","title":"Smart Learning Using Generative AI","year":2025,"lang":"en","type":"article","venue":"International Journal for Research in Applied Science and Engineering Technology","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Generative grammar; Computer science; Artificial intelligence; Psychology; Medicine","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":[0.0007722456,0.0005908887,0.0003251347,0.0006043547,0.0007667928,0.002981766,0.001230064,0.00135245,0.01107964],"category_scores_gemma":[0.00207674,0.0002233708,0.0007605662,0.0004034983,0.002053735,0.00361962,0.003814554,0.001383118,0.00252352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007650743,"about_ca_system_score_gemma":0.0004640996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003299759,"about_ca_topic_score_gemma":0.0004579546,"domain_scores_codex":[0.9994677,0.0002151215,0.00002112388,0.00008624227,0.0001493173,0.00006063186],"domain_scores_gemma":[0.9992179,0.0004852624,0.00003505069,0.000138987,0.00005249758,0.00007034251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007255634,0.0001885565,0.001352612,0.0007451277,0.00004960102,0.0005225731,0.004965353,0.01455757,0.01643592,0.6769346,0.01214908,0.2720264],"study_design_scores_gemma":[0.00004427346,0.0002093454,0.001143019,0.0005564294,0.00004437364,0.001303603,0.001764101,0.06395315,0.01859974,0.4309047,0.4813646,0.00011286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02997404,0.002497665,0.7241391,0.003980507,0.000695134,0.0002511206,0.00009805339,0.002751608,0.2356128],"genre_scores_gemma":[0.5853512,0.004148916,0.2979817,0.002115891,0.0003217157,0.0006797113,0.0002788639,0.0005747253,0.1085473],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01107964,"threshold_uncertainty_score":0.03706509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05656527038146163,"score_gpt":0.4138527253735743,"score_spread":0.3572874549921126,"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."}}