{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003135763,0.00008030075,0.0001500824,0.0001306476,0.0001106283,0.00003697068,0.0003129091,0.0000259408,0.000008431542],"category_scores_gemma":[0.00007198235,0.00007201811,0.00004048273,0.0005612774,0.00002265029,0.0001143262,0.0001532281,0.000126419,0.000211685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001536463,"about_ca_system_score_gemma":0.00002345106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000205561,"about_ca_topic_score_gemma":2.816638e-7,"domain_scores_codex":[0.9990954,0.00003870889,0.0002561549,0.0001182489,0.0003621928,0.0001292835],"domain_scores_gemma":[0.9992383,0.0001786951,0.0001562452,0.0002629864,0.0001343058,0.0000294684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001337047,0.0003052726,0.01090064,0.0006748142,0.00007740405,0.000005344551,0.01135547,0.8819943,0.002111682,0.01711172,0.0001660963,0.07529593],"study_design_scores_gemma":[0.0001213704,0.00005252299,0.008752391,0.00005509412,0.00001305653,0.000004080003,0.0001082729,0.9867042,0.0002983308,0.003721972,0.00009620294,0.00007249945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5320679,0.00002549891,0.4667162,0.0005016657,0.00007083125,0.00008159225,9.576855e-7,0.000236296,0.0002991063],"genre_scores_gemma":[0.8869195,0.00002596325,0.1124372,0.00001541757,0.00001498912,0.000004558159,0.0000123077,0.000008215668,0.0005617757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3548516,"threshold_uncertainty_score":0.2936813,"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."}}