{"id":"W2746567044","doi":"10.13034/jsst.v10i1.181","title":"The Application of Machine Learning to Education","year":2017,"lang":"en","type":"article","venue":"Journal of Student Science and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ranking (information retrieval); Test (biology); Mathematics education; Quality (philosophy); Field (mathematics); Accountability; Computer science; Standardized test; Government (linguistics); Artificial intelligence; Machine learning; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.006920149,0.0009338169,0.001005956,0.003367853,0.0005685854,0.002946552,0.001232939,0.001356791,0.002084055],"category_scores_gemma":[0.03024189,0.0004301333,0.0009627077,0.003345413,0.003619774,0.002727004,0.001494881,0.00242126,0.0004667081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002066753,"about_ca_system_score_gemma":0.001741795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007798145,"about_ca_topic_score_gemma":0.003630346,"domain_scores_codex":[0.991044,0.005703613,0.0003511358,0.0009262187,0.001768299,0.0002067294],"domain_scores_gemma":[0.9617246,0.03491508,0.0007880654,0.001391439,0.000998031,0.0001827866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002725486,0.0004426911,0.0444155,0.001243189,0.0007203388,0.0003736624,0.0009221334,0.1386923,0.00206522,0.1020616,0.006371161,0.7024196],"study_design_scores_gemma":[0.00009482068,0.0004069862,0.02721437,0.0006076801,0.00008059822,0.0002651671,0.0007004245,0.4763021,0.00378204,0.4555675,0.0348375,0.0001408793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.09678743,0.01923949,0.8318486,0.01733303,0.0006981501,0.0003908954,0.0007302873,0.001024146,0.03194797],"genre_scores_gemma":[0.6122817,0.008667118,0.3724603,0.001544657,0.0007496028,0.000373754,0.0005409144,0.000099843,0.003282071],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007798145,"threshold_uncertainty_score":0.03659767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00834636361553105,"score_gpt":0.3405394049137784,"score_spread":0.3321930412982473,"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."}}