{"id":"W4408954532","doi":"10.47392/irjaem.2025.0140","title":"Learnova: An Intelligent LMS for Personalized Education and Comprehensive Management","year":2025,"lang":"en","type":"article","venue":"International Research Journal on Advanced Engineering and Management (IRJAEM)","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Learning Management; Computer science; Knowledge management; Engineering management; Multimedia; Engineering","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":[0.0005723207,0.0008708012,0.000362916,0.0007322642,0.0003853613,0.001864982,0.001940603,0.001030779,0.01758624],"category_scores_gemma":[0.002329183,0.0003521916,0.0004031307,0.0004324179,0.0003091086,0.0030046,0.003349823,0.001264091,0.01017037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003962083,"about_ca_system_score_gemma":0.0009851712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009175587,"about_ca_topic_score_gemma":0.001242438,"domain_scores_codex":[0.9996387,0.00006247064,0.00002284727,0.0001001481,0.0001209205,0.0000549103],"domain_scores_gemma":[0.9994285,0.0001517585,0.00004086138,0.0001359379,0.00007349221,0.0001694179],"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":[0.0008771091,0.0007359372,0.004563602,0.0004056127,0.00009657649,0.0003794224,0.000555585,0.008629567,0.03351888,0.01534839,0.2200741,0.7148152],"study_design_scores_gemma":[0.00040368,0.0007332779,0.006411035,0.0001516533,0.00009255223,0.0006722767,0.0001586885,0.1351705,0.02839724,0.01458738,0.8130009,0.0002208928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.04995369,0.001076062,0.4916423,0.001417072,0.0008019836,0.0008715124,0.006187429,0.3655069,0.08254298],"genre_scores_gemma":[0.3379787,0.001514184,0.4100102,0.002395185,0.0008975414,0.001220299,0.02048164,0.01515592,0.2103462],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01758624,"threshold_uncertainty_score":0.05883181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03794340351437669,"score_gpt":0.414924323172027,"score_spread":0.3769809196576503,"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."}}