{"id":"W4323654856","doi":"10.18280/isi.280116","title":"Hybrid Learning Predictions on Learning Quality Using Multiple Linear Regression","year":2023,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direktorat Jenderal Pendidikan Tinggi","keywords":"Quality (philosophy); Linear regression; Computer science; Machine learning; Regression; Artificial intelligence; Statistics; Mathematics","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":[0.0008341608,0.0001766374,0.0001805367,0.0004582843,0.00104887,0.000301238,0.0002719935,0.00009878654,0.00001722215],"category_scores_gemma":[0.001126958,0.0001598813,0.00008804561,0.0006947774,0.0000491812,0.003719282,0.0001873602,0.0003863044,0.00070819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001621149,"about_ca_system_score_gemma":0.00006192751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007536971,"about_ca_topic_score_gemma":0.00000125422,"domain_scores_codex":[0.9982074,0.0002362216,0.0005477555,0.000213867,0.0004484259,0.0003463162],"domain_scores_gemma":[0.9988063,0.000235014,0.0003676252,0.0002669909,0.00022352,0.0001005512],"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":[0.0001403061,0.00007725125,0.0106896,0.0004629458,0.00005548811,0.0000190408,0.01616488,0.5689595,0.007510209,0.00204271,0.002633299,0.3912448],"study_design_scores_gemma":[0.0003778974,0.0001283234,0.004528746,0.0004345082,0.000004858152,0.00002025905,0.0009011548,0.9835376,0.004122212,0.0007519101,0.00497016,0.0002224358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5918273,0.000009536727,0.4044594,0.00006010722,0.0004612209,0.0001768237,0.000006488028,0.001157951,0.001841165],"genre_scores_gemma":[0.9941451,0.0000366226,0.005223755,0.00009066364,0.00008604972,0.00003341096,0.0001998127,0.00001151043,0.0001730887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4145781,"threshold_uncertainty_score":0.9102585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04472399046861803,"score_gpt":0.2938667592866772,"score_spread":0.2491427688180591,"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."}}