{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008508085,0.0003998888,0.0001834722,0.0004514905,0.001003607,0.00182274,0.001216514,0.0006076,0.004966136],"category_scores_gemma":[0.001553697,0.0001873221,0.0003662212,0.0002658625,0.0006748976,0.001100666,0.004154141,0.0007511753,0.001233161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004524032,"about_ca_system_score_gemma":0.001056727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006914812,"about_ca_topic_score_gemma":0.002599383,"domain_scores_codex":[0.9991666,0.000349155,0.00002441185,0.0001588774,0.0001870809,0.0001138821],"domain_scores_gemma":[0.9989699,0.0002522749,0.00006667379,0.0002077652,0.00008391304,0.000419462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008749068,0.01174822,0.01093573,0.0003219212,0.00004215844,0.001309485,0.02180055,0.001082595,0.06576815,0.006742267,0.01180899,0.867565],"study_design_scores_gemma":[0.001745912,0.0416546,0.149331,0.0004985007,0.0004280501,0.01003965,0.04878948,0.01489718,0.08382371,0.01746727,0.6309268,0.000397681],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8576471,0.0001973341,0.06928908,0.001775582,0.0002716669,0.0008491905,0.000120035,0.002552902,0.06729707],"genre_scores_gemma":[0.8135855,0.0002634478,0.1476446,0.0008341182,0.00008970451,0.0007637248,0.0001969926,0.0002420373,0.03637981],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004966136,"threshold_uncertainty_score":0.01661336,"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."}}