{"id":"W4409663317","doi":"10.22214/ijraset.2025.69192","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","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":[0.0005608607,0.000412394,0.0002338453,0.0004645127,0.0005134632,0.002293682,0.0009222953,0.0007281934,0.01174215],"category_scores_gemma":[0.001524085,0.0002275796,0.0005527214,0.0003620314,0.001572583,0.002040241,0.003191849,0.0008612884,0.00186303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005501807,"about_ca_system_score_gemma":0.0004875889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005959683,"about_ca_topic_score_gemma":0.000884611,"domain_scores_codex":[0.9996581,0.0001373891,0.00001421494,0.00006869598,0.00008864649,0.00003299164],"domain_scores_gemma":[0.9994699,0.0002962492,0.00002353445,0.0001291169,0.00003609044,0.00004503623],"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":[0.00009436267,0.0003526692,0.00392107,0.0006339232,0.00008915088,0.000610831,0.004087053,0.08424286,0.0311979,0.5103157,0.006878825,0.3575757],"study_design_scores_gemma":[0.00006874565,0.0001981852,0.002134885,0.0002913069,0.00005689749,0.0007089301,0.001082755,0.3994058,0.01987416,0.4278847,0.148219,0.00007469062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05599413,0.0005693295,0.7912243,0.001265601,0.0001313055,0.0002119818,0.00009040217,0.00260296,0.1479101],"genre_scores_gemma":[0.7232758,0.0008015615,0.244461,0.0004484617,0.00004977799,0.0003568703,0.0002224576,0.0002290045,0.03015505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01174215,"threshold_uncertainty_score":0.03928137,"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."}}