{"id":"W4406820161","doi":"10.1016/j.ipm.2025.104074","title":"Exploring long- and short-term knowledge state graph representations with adaptive fusion for knowledge tracing","year":2025,"lang":"en","type":"article","venue":"Information Processing & Management","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"National Outstanding Youth Science Fund Project of National Natural Science Foundation of China","keywords":"Term (time); Tracing; Computer science; Graph; Fusion; Artificial intelligence; Theoretical computer science; Programming language; Linguistics; Physics","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":[0.0009982921,0.0011355,0.0009833865,0.002462684,0.0004153083,0.001395578,0.001861947,0.00165449,0.001307708],"category_scores_gemma":[0.005752916,0.0003830542,0.001525649,0.002460818,0.0007780241,0.004277589,0.002000387,0.002299414,0.0006334761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001185699,"about_ca_system_score_gemma":0.00113069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007414428,"about_ca_topic_score_gemma":0.009681301,"domain_scores_codex":[0.9990827,0.00015341,0.00006505359,0.0003992077,0.000209044,0.00009067068],"domain_scores_gemma":[0.9976007,0.001142922,0.0003219882,0.0005177836,0.0003113914,0.0001051582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003046788,0.0004609876,0.01008454,0.0002932771,0.0002407766,0.0001912928,0.0005089308,0.2936164,0.01009226,0.01049111,0.005449305,0.6682664],"study_design_scores_gemma":[0.000007942119,0.00005012346,0.001271127,0.00001927057,0.00003993459,0.00003997204,0.00005427153,0.9789236,0.00253977,0.0157037,0.001332384,0.00001790911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0655342,0.001081615,0.9254232,0.0006779905,0.00007517741,0.0001135382,0.001062178,0.004391267,0.001640854],"genre_scores_gemma":[0.7707202,0.0007119898,0.2215879,0.000325062,0.00007666332,0.0002112578,0.003717685,0.0001984436,0.002450597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007414428,"threshold_uncertainty_score":0.01474255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07738686477959825,"score_gpt":0.3053585535230985,"score_spread":0.2279716887435003,"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."}}