{"id":"W7024476910","doi":"","title":"Role of Technology in Supporting English Language Learners in Today’s Classrooms","year":2014,"lang":"en","type":"other","venue":"TSpace (University of Toronto)","topic":"Quantum Information and Cryptography","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Ell; Variety (cybernetics); English language; Perception; Qualitative research; Technology integration; Language acquisition; Teaching method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.00694327,0.0004744706,0.0006103794,0.001313632,0.006919555,0.006654461,0.001608108,0.001737774,0.003054909],"category_scores_gemma":[0.008188521,0.0003738056,0.0005380884,0.0007817578,0.005075352,0.005462685,0.004915553,0.001785251,0.0005334154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003164204,"about_ca_system_score_gemma":0.004172841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002814285,"about_ca_topic_score_gemma":0.004912228,"domain_scores_codex":[0.9913532,0.006067121,0.0003016706,0.0004123278,0.0006644826,0.001201126],"domain_scores_gemma":[0.9900874,0.006996534,0.0006648384,0.0002528168,0.0006545503,0.001343819],"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":[0.00003335517,0.0001641836,0.007246896,0.0003658675,0.00001054553,0.001655575,0.9683705,0.0000733362,0.002019064,0.003824741,0.0008546339,0.01538129],"study_design_scores_gemma":[0.00000725305,0.0001114207,0.001901244,0.0003602588,0.00001336573,0.0004446043,0.9682584,0.00006366752,0.0004787442,0.000356382,0.02798933,0.00001539018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9680023,0.002155274,0.003475173,0.004183391,0.0001679738,0.0001577838,0.00007935958,0.00005203824,0.02172663],"genre_scores_gemma":[0.9928052,0.000986174,0.001491845,0.0005745797,0.00002265195,0.000128328,0.00002343653,0.00001727218,0.003950608],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.00694327,"threshold_uncertainty_score":0.03671998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004100810138722694,"score_gpt":0.2107637305415798,"score_spread":0.2066629204028571,"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."}}