{"id":"W2015178910","doi":"10.5539/ass.v10n7p1","title":"Educational Platforms and Learning Approaches in University Education","year":2014,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dropout (neural networks); Mathematics education; Psychology; Blended learning; Academic achievement; Descriptive statistics; Educational technology; Computer science; Mathematics; Statistics; Machine learning","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.00131381,0.00004126034,0.00005550056,0.0001168988,0.001510359,0.00006836423,0.0001749911,0.00004501566,0.00002935953],"category_scores_gemma":[0.000367786,0.0000446002,0.00001298677,0.0007313403,0.0006792482,0.0005247944,0.00003640492,0.0001783905,0.000009481458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001444041,"about_ca_system_score_gemma":0.001308361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00043648,"about_ca_topic_score_gemma":0.0005348781,"domain_scores_codex":[0.9992206,0.00008643902,0.0000560908,0.000179652,0.000243407,0.0002138483],"domain_scores_gemma":[0.9997497,0.00005660888,0.00004542206,0.00003170778,0.00003809956,0.0000784876],"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":[0.000001182411,0.00002218914,0.01957794,0.000001522631,3.531349e-7,5.13784e-8,0.01141032,6.310635e-7,0.00001440483,0.3929708,0.00002419319,0.5759764],"study_design_scores_gemma":[0.0001444422,0.00002136123,0.6133524,0.00001362758,0.000003732814,5.84231e-7,0.1544328,0.0001429555,0.00000601665,0.01863004,0.2130814,0.0001706594],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3322407,0.000007471813,0.00005678699,0.005101144,0.00008987285,0.00005145847,1.386783e-7,0.00001706736,0.6624354],"genre_scores_gemma":[0.9960718,0.000005767961,0.001131453,0.00003628798,0.0002894098,7.654865e-7,0.000001518099,0.000002021374,0.00246101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6638311,"threshold_uncertainty_score":0.9997895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373594787140383,"score_gpt":0.2947143869969327,"score_spread":0.2709784391255289,"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."}}