{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0007497999,0.00009639618,0.0001608101,0.0005070582,0.0002515567,0.0001989154,0.001454171,0.0002063912,0.0001367857],"category_scores_gemma":[0.2726842,0.0001006229,0.00006553432,0.0001011715,0.0004377306,0.0001836676,0.0001066364,0.0004743484,0.000005623188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002948304,"about_ca_system_score_gemma":0.0008896995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000400086,"about_ca_topic_score_gemma":0.0009456397,"domain_scores_codex":[0.9987779,0.00004059394,0.0003889447,0.0001312042,0.0004696378,0.0001917302],"domain_scores_gemma":[0.9886197,0.0001123524,0.0004813339,0.0002174626,0.01050216,0.00006694644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002873946,0.0006607901,0.5014383,0.000008644318,0.0001446645,0.00005559261,0.04210867,0.00003813497,0.00001710274,0.4385799,0.007097692,0.009821746],"study_design_scores_gemma":[0.001393824,0.00008612755,0.1486074,0.000211092,0.00005112511,0.00000486262,0.051186,0.000009788035,0.0006314367,0.100553,0.6968855,0.0003798973],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5596231,0.0005909317,0.00004879324,0.006279251,0.07047765,0.0001327645,0.0000158947,0.00008954421,0.3627421],"genre_scores_gemma":[0.9778367,0.0001682889,0.001734105,0.00005493607,0.01976958,0.000004553084,0.000005213837,0.000008645526,0.0004180034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6897877,"threshold_uncertainty_score":0.7334423,"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."}}