{"id":"W2185498656","doi":"10.18806/tesl.v32i2.1207","title":"An Analysis of the Effect of a Cyber Home Learning System on Korean Secondary School Students’ English Language Achievement and Attitude","year":2015,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Learning styles; Mathematics education; Medical education; Medicine","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":[0.001168445,0.00007654897,0.0001885214,0.0001639573,0.0001183225,0.00009970018,0.0005502939,0.00001884547,0.0001820227],"category_scores_gemma":[0.0001739297,0.00005167429,0.0000841772,0.0003505101,0.00002048932,0.0001123248,0.00007358878,0.000337971,4.17767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002323439,"about_ca_system_score_gemma":0.0003828959,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01704173,"about_ca_topic_score_gemma":0.01447479,"domain_scores_codex":[0.9984844,0.0004989423,0.0002415903,0.0001157189,0.0005462209,0.0001131716],"domain_scores_gemma":[0.9990634,0.00008695773,0.0002611906,0.0002565643,0.0001374487,0.0001943895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001896386,0.00009736662,0.9776149,0.00005791745,0.0008006089,0.0000160376,0.007943423,0.009338872,0.000116164,0.0005528942,0.002010769,0.001432102],"study_design_scores_gemma":[0.0006792248,0.0006153173,0.9881834,0.0001513495,0.0002197545,0.00001853974,0.005705594,0.003394034,0.0002564133,0.000001565933,0.0006776172,0.00009713977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983397,0.0005414584,0.0003970795,0.0001296695,0.000332317,0.00006054426,0.000003209621,0.00001257017,0.0001835148],"genre_scores_gemma":[0.9993736,7.358417e-7,0.0001106665,0.0003074935,0.00004875391,0.000002092112,0.000001688107,0.000004161135,0.0001508341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01056857,"threshold_uncertainty_score":0.9895039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007676865272002285,"score_gpt":0.2707494969346679,"score_spread":0.2630726316626656,"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."}}