{"id":"W2275582404","doi":"10.5539/ass.v12n3p207","title":"Academic Performance in Blended-Learning and Face-to-Face University Teaching","year":2016,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blended learning; Mathematics education; Computer science; Higher education; Active learning (machine learning); Field (mathematics); Educational technology; Psychology; Artificial intelligence; 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":[0.0009346188,0.00008140129,0.00009782996,0.0001785978,0.00067307,0.00006718189,0.000819264,0.00005355082,0.000001841],"category_scores_gemma":[0.0001651379,0.00006826068,0.00001727467,0.0008264841,0.0002347327,0.0008502299,0.0004352665,0.0004013765,0.00003300526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001360054,"about_ca_system_score_gemma":0.0001641922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001049962,"about_ca_topic_score_gemma":0.000003839522,"domain_scores_codex":[0.9987723,0.00008076151,0.00009294834,0.0003785629,0.0002933726,0.0003820328],"domain_scores_gemma":[0.9996424,0.00004647542,0.0000549836,0.0001001444,0.00002522493,0.0001308146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000002565116,0.000009139546,0.03682395,0.000003664786,0.000001222459,0.00000558661,0.00585364,0.00001814049,0.002591585,0.0335924,0.00002898925,0.9210691],"study_design_scores_gemma":[0.0008012191,0.0002110228,0.9200203,0.0002230228,0.000006499619,0.00001472917,0.005796316,0.01896713,0.0006171006,0.001949887,0.05068754,0.0007051704],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8298694,0.00001855953,0.05959912,0.03896382,0.0001668212,0.0001125967,0.000001107618,0.0002167761,0.07105178],"genre_scores_gemma":[0.99531,0.00002320417,0.002587937,0.00007165055,0.00004886683,2.170249e-7,5.710196e-8,0.000003051612,0.001954998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.920364,"threshold_uncertainty_score":0.5176778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008987104122437226,"score_gpt":0.2693280208955038,"score_spread":0.2603409167730666,"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."}}