{"id":"W4409603288","doi":"10.61091/jcmcc127b-096","title":"Research on Personalized Learning Resource Recommendation Method for Students Supported by Artificial Intelligence","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Resource (disambiguation); Computer science; Artificial intelligence; Knowledge management; Data science; Mathematics education; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008146035,0.0002009042,0.0004974522,0.0005540376,0.0007124898,0.0003737558,0.001110545,0.0002325282,0.000006884307],"category_scores_gemma":[0.00154492,0.0001921925,0.0001273923,0.000768712,0.000106642,0.0001784814,0.0003564034,0.001011771,0.000002193081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001388456,"about_ca_system_score_gemma":0.0002698872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005068281,"about_ca_topic_score_gemma":1.538315e-7,"domain_scores_codex":[0.9971172,0.000513422,0.0009851409,0.0003334287,0.0006804223,0.0003703923],"domain_scores_gemma":[0.9932304,0.004837217,0.0006529785,0.0002351704,0.0009372232,0.000106988],"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":[0.0001290851,0.0006495118,0.00003924601,0.0000637913,0.00008465721,0.000001729569,0.0008390083,0.00003263834,0.0003913461,0.966508,0.001845158,0.0294158],"study_design_scores_gemma":[0.001283414,0.001139398,0.00001765642,0.0002343208,0.00003306564,0.000016776,0.00160069,0.02080569,0.004968228,0.9546007,0.01511978,0.0001802823],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08537713,0.0001409298,0.9005907,0.004048721,0.008233178,0.0004799701,0.000002047054,0.00006927084,0.00105808],"genre_scores_gemma":[0.9475972,0.00003000545,0.05147089,0.0001307894,0.0006144186,0.00001367906,0.000007263661,0.00002069372,0.0001150541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.86222,"threshold_uncertainty_score":0.7837382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08137220385099275,"score_gpt":0.4522989488664915,"score_spread":0.3709267450154987,"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."}}