{"id":"W2575968712","doi":"10.5539/ijel.v7n2p176","title":"Teacher’s Attitudes towards Educational Technology in English Language Institutes","year":2017,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Positive attitude; Psychology; Positive relationship; Positive correlation; Rank (graph theory); Spearman's rank correlation coefficient; Rank correlation; Order (exchange); Mathematics education; Medical education; Social psychology; Mathematics; Business; Medicine; Statistics","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":[0.001028706,0.0001124701,0.0002062427,0.0005995921,0.0005922901,0.001296296,0.0001819232,0.0003570243,0.002535963],"category_scores_gemma":[0.00555825,0.0001691186,0.0002252189,0.0003264193,0.000508612,0.000453628,0.0005635878,0.0004424502,0.0003196686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006494682,"about_ca_system_score_gemma":0.00045019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004139292,"about_ca_topic_score_gemma":0.006694414,"domain_scores_codex":[0.9993316,0.0002376784,0.00004736714,0.00005253596,0.0001901059,0.0001407336],"domain_scores_gemma":[0.9935688,0.002105212,0.002178106,0.000199282,0.0008333229,0.001115128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001615686,0.0002665708,0.9449492,0.00007588752,0.00001913408,0.0005644047,0.04068571,0.0001142477,0.003630041,0.0002074469,0.0002977962,0.009027919],"study_design_scores_gemma":[0.00001171482,0.0003464443,0.9612204,0.000038428,0.00001603914,0.0003501535,0.03564756,0.0001563542,0.0004914229,0.00004654438,0.001660196,0.00001461507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987425,0.00004418826,0.00002730404,0.00006235883,0.000001868651,0.000002160874,0.000004954661,0.000001449075,0.001113197],"genre_scores_gemma":[0.9993727,0.00005098131,0.00002173328,0.00001589219,0.000001701107,0.000002333702,0.000006571089,5.887638e-7,0.000527563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004139292,"threshold_uncertainty_score":0.008483648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574762035776946,"score_gpt":0.380308649506582,"score_spread":0.3545610291488125,"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."}}