{"id":"W4402951961","doi":"10.54254/2753-8818/52/2024ch0136","title":"High school student GPA prediction by various linear regression models","year":2024,"lang":"en","type":"article","venue":"Theoretical and Natural Science","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Linear regression; Statistics; Regression analysis; Mathematics","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":[0.005327316,0.001901822,0.0009654334,0.002592912,0.0004526842,0.00156726,0.001548422,0.0009973524,0.002710241],"category_scores_gemma":[0.01332129,0.0004358443,0.002660643,0.002770647,0.0002527719,0.001326876,0.0007777365,0.001735579,0.001880182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008825538,"about_ca_system_score_gemma":0.0008380872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01205989,"about_ca_topic_score_gemma":0.00790743,"domain_scores_codex":[0.9970897,0.001424505,0.0001728046,0.0006081073,0.0004720969,0.0002328229],"domain_scores_gemma":[0.9924151,0.004733296,0.0008887721,0.0004987019,0.00121398,0.0002501323],"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":[0.001399957,0.002665664,0.2168876,0.0003816455,0.0009289866,0.0002180951,0.000329073,0.3827514,0.002711035,0.001686232,0.005549941,0.3844905],"study_design_scores_gemma":[0.00002944433,0.0003980669,0.02644278,0.00003730193,0.0001284755,0.00002941329,0.00008030146,0.970755,0.0009188499,0.0005603639,0.0005819426,0.0000380584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8293539,0.001583263,0.1561295,0.0008089868,0.0002087096,0.0004132623,0.002298655,0.003036966,0.006166706],"genre_scores_gemma":[0.9552999,0.0005751022,0.03845296,0.00007018484,0.00007730448,0.0002392173,0.002343715,0.00008937978,0.002852171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01205989,"threshold_uncertainty_score":0.02817386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003991583415884348,"score_gpt":0.2702407680902209,"score_spread":0.2662491846743365,"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."}}