{"id":"W3044679867","doi":"10.5539/elt.v13n8p160","title":"Integration of Technology among Saudi EFL Teachers","year":2020,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Education and Technology Integration","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology integration; Psychology; Educational technology; Perception; Affect (linguistics); Mathematics education; Medical education; Pedagogy; Medicine","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":[0.0008344988,0.0002422351,0.0002536149,0.0009481758,0.00119914,0.002054867,0.0002097109,0.0004633443,0.001508214],"category_scores_gemma":[0.003281682,0.0002337087,0.0001616268,0.0006542559,0.0006193633,0.0009671873,0.0009226583,0.0004319633,0.0002883749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009563823,"about_ca_system_score_gemma":0.001023822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125826,"about_ca_topic_score_gemma":0.0157306,"domain_scores_codex":[0.9992168,0.00016908,0.00007642031,0.00007930829,0.0003012057,0.0001570754],"domain_scores_gemma":[0.9972606,0.0004490982,0.001133647,0.00008913811,0.0006438819,0.0004236754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007866813,0.0002942518,0.8440021,0.0001263428,0.00001878462,0.001087784,0.1129535,0.000076253,0.006623229,0.0002216313,0.000357481,0.03415989],"study_design_scores_gemma":[0.00001057505,0.0002859749,0.7854921,0.0001483862,0.00002700433,0.001275078,0.2045216,0.0004005774,0.0009745006,0.0001052013,0.006727751,0.00003126086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991528,0.000111516,0.00003222314,0.00006158283,0.000001739161,0.000002160861,0.000003758996,0.00000134529,0.0006328612],"genre_scores_gemma":[0.9991384,0.0001885914,0.00005633084,0.00003789661,0.000002050648,0.000003542529,0.000009694794,0.000001213652,0.0005624053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0125826,"threshold_uncertainty_score":0.02501875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01382145151621203,"score_gpt":0.3058867960190491,"score_spread":0.2920653445028371,"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."}}