{"id":"W4384825535","doi":"10.3390/math11143153","title":"Comprehensive Evaluations of Student Performance Estimation via Machine Learning","year":2023,"lang":"en","type":"article","venue":"Mathematics","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mustansiriyah University","keywords":"Artificial intelligence; Machine learning; Computer science; Perceptron; Support vector machine; Naive Bayes classifier; Linear discriminant analysis; Artificial neural network; Decision tree; Random forest; Classifier (UML); Quadratic classifier; Pattern recognition (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00690965,0.001291419,0.0009986907,0.005143384,0.0004106285,0.001228416,0.001037364,0.001009357,0.0009419866],"category_scores_gemma":[0.01384149,0.0001584991,0.0006856687,0.003261445,0.0004182918,0.001520681,0.001218064,0.0006886869,0.0007365917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923873,"about_ca_system_score_gemma":0.0004843565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002778406,"about_ca_topic_score_gemma":0.002979391,"domain_scores_codex":[0.993661,0.001653962,0.0005788719,0.0009769526,0.002759952,0.0003691739],"domain_scores_gemma":[0.9877053,0.004826539,0.001299291,0.001351319,0.00427964,0.0005379093],"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":[0.00140931,0.001259937,0.2352274,0.001056848,0.0009386343,0.0002341903,0.000380603,0.1354201,0.006949526,0.002197589,0.01549402,0.5994318],"study_design_scores_gemma":[0.00007509612,0.002336638,0.3428463,0.0002499178,0.0002703588,0.0002956681,0.0007528852,0.6005005,0.03437919,0.001961512,0.01614034,0.0001916265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9114222,0.00451889,0.0641854,0.0002939731,0.000256952,0.0002335823,0.007147359,0.002999389,0.008942272],"genre_scores_gemma":[0.9652102,0.0006983708,0.0195451,0.00004580441,0.00008071156,0.0001248946,0.01227008,0.00007066828,0.001954175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00690965,"threshold_uncertainty_score":0.03654218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04496173362624997,"score_gpt":0.3526383526434385,"score_spread":0.3076766190171886,"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."}}