{"id":"W2189287958","doi":"10.7146/hjlcb.v16i31.25735","title":"Using WebCT to teach grammar selectively","year":2017,"lang":"en","type":"article","venue":"HERMES - Journal of Language and Communication in Business","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"British Columbia Institute of Technology","keywords":"Grammar; Computer science; Component (thermodynamics); Mathematics education; Multimedia; Psychology; Linguistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006140339,0.0000793748,0.000167142,0.000136155,0.0006955278,0.0003944016,0.0003945992,0.00002744227,0.0000953219],"category_scores_gemma":[0.0002353736,0.00006622075,0.00002822101,0.0000323049,0.00009923128,0.0004047851,0.00009685462,0.0002942396,0.000002969387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002825679,"about_ca_system_score_gemma":0.00003523102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00115926,"about_ca_topic_score_gemma":0.00069132,"domain_scores_codex":[0.999345,0.0001451874,0.000230833,0.00006580714,0.000104189,0.0001089835],"domain_scores_gemma":[0.9990565,0.00006373879,0.0003172281,0.0003207312,0.0002023137,0.00003951763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002728576,0.0004383166,0.0505637,0.0001832977,0.0001541935,0.000123341,0.7045875,0.0006410728,0.005787763,0.03624443,0.001746694,0.1992569],"study_design_scores_gemma":[0.003487198,0.0002587544,0.4751789,0.003241241,0.0001666902,0.0004731975,0.1593401,0.001433891,0.0003472536,0.002598004,0.3524228,0.001051959],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881789,0.001547029,0.0001341986,0.001486945,0.00009884667,0.00004820338,0.000001164871,0.000009763299,0.00849494],"genre_scores_gemma":[0.9975548,0.0001316075,0.001212929,0.0001468013,0.0001996112,0.000001262343,0.000001355347,0.00001170321,0.000739922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5452474,"threshold_uncertainty_score":0.5349507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06062920213745168,"score_gpt":0.3294925554101078,"score_spread":0.2688633532726561,"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."}}