{"id":"W2109771444","doi":"10.19030/ctms.v4i6.5558","title":"Preparing Students For Class: A Hybrid Enhancement To Language Learning","year":2008,"lang":"en","type":"article","venue":"College Teaching Methods & Styles Journal (CTMS)","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Mathematics education; Class (philosophy); Computer science; Teaching method; Psychology; Multimedia; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.008585815,0.0004245294,0.0006457382,0.0004330756,0.005020581,0.0006112906,0.0007544676,0.00006757217,0.0003919787],"category_scores_gemma":[0.002340862,0.0003784469,0.0003696332,0.00006941683,0.0001040041,0.0004204416,0.0002612557,0.002167251,0.00005409215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003099591,"about_ca_system_score_gemma":0.0001082681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001006345,"about_ca_topic_score_gemma":0.00005182499,"domain_scores_codex":[0.9948565,0.002309541,0.0008103141,0.0005283551,0.0006783684,0.0008169258],"domain_scores_gemma":[0.9975212,0.001158693,0.0004645963,0.0003307024,0.0001629109,0.0003619014],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006982443,0.001063549,0.003025595,0.0002660537,0.001082443,0.000476315,0.6645605,0.003477095,0.01416037,0.03174896,0.04648018,0.2329607],"study_design_scores_gemma":[0.00136773,0.0007749541,0.0001668307,0.0004282846,0.0001139525,0.0004714467,0.04044003,0.001472279,0.001013754,0.0003421969,0.9527302,0.0006783041],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7564252,0.000952811,0.1901556,0.0003970182,0.001297782,0.0007103527,0.00001966911,0.0003419135,0.04969963],"genre_scores_gemma":[0.8216346,0.000049227,0.1285,0.0005262559,0.002218005,0.00007773807,0.000009299201,0.00010985,0.04687504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9062501,"threshold_uncertainty_score":0.9998667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05053221462169981,"score_gpt":0.3842652139749302,"score_spread":0.3337329993532304,"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."}}