{"id":"W2945757371","doi":"10.5539/elt.v11n11p19","title":"Using CLIL Approach to Improve English Language in a Colombian Higher Educational Institution","year":2018,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Cognition; Foreign language; Pedagogy; Mathematics education; Control (management); Higher education; Medical education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009092301,0.0003793708,0.0002439331,0.0004936921,0.001536656,0.0008541722,0.0005561477,0.0003430188,0.002247281],"category_scores_gemma":[0.001731151,0.0000983057,0.0001716429,0.0001699756,0.0006514039,0.0003549973,0.001376668,0.0004209813,0.0002292434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00212781,"about_ca_system_score_gemma":0.003804126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01484012,"about_ca_topic_score_gemma":0.05684108,"domain_scores_codex":[0.9993025,0.000314633,0.00002865803,0.00008020589,0.00008280692,0.0001911433],"domain_scores_gemma":[0.9990859,0.000161065,0.0001239199,0.00004298284,0.0001857283,0.0004005504],"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":[0.001320656,0.01117111,0.1586136,0.002628307,0.00006366889,0.004198702,0.05863728,0.0008517203,0.04254514,0.002311384,0.00542216,0.7122363],"study_design_scores_gemma":[0.0002806263,0.01002056,0.7265642,0.00120699,0.0001956615,0.00133803,0.1408123,0.00130801,0.02353963,0.000848688,0.09373891,0.0001464044],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9922723,0.0008142848,0.0009217518,0.0004599602,0.00002874562,0.0001547382,0.00003244003,0.00003725167,0.005278549],"genre_scores_gemma":[0.993241,0.0005133307,0.002902621,0.0001330841,0.000006882783,0.00009510019,0.00003139764,0.000006154678,0.003070472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01484012,"threshold_uncertainty_score":0.02950752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02387156119264296,"score_gpt":0.2758041711466399,"score_spread":0.2519326099539969,"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."}}