{"id":"W1561351868","doi":"10.5539/ies.v8n8p13","title":"EFL College Students’ Attitudes towards Mobile Learning","year":2015,"lang":"en","type":"article","venue":"International Education Studies","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Likert scale; Psychology; Context (archaeology); Mathematics education; Scale (ratio); Mobile device; Point (geometry); Educational technology; Medical education; Pedagogy; Computer science; World Wide Web","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":[0.001078821,0.0002876889,0.0003439096,0.001124822,0.001056796,0.002760778,0.000234809,0.0007761924,0.005866692],"category_scores_gemma":[0.003554286,0.0001535387,0.0002713923,0.0006889799,0.0007871006,0.0007543062,0.00110667,0.0008563889,0.0009565285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005303836,"about_ca_system_score_gemma":0.0004685833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002588738,"about_ca_topic_score_gemma":0.003695161,"domain_scores_codex":[0.9993374,0.0001069721,0.0000508058,0.00006502439,0.0002587697,0.0001811018],"domain_scores_gemma":[0.9966523,0.0006706113,0.0007980721,0.00008887627,0.0006234336,0.001166729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002551361,0.002069126,0.8634754,0.0001837674,0.00003504415,0.001060964,0.06490105,0.0001541438,0.006755394,0.0004275628,0.001293643,0.05938877],"study_design_scores_gemma":[0.0000249021,0.001518041,0.8394675,0.0001305458,0.00004236641,0.0008037552,0.1462704,0.0004320484,0.002065531,0.0003343037,0.008840132,0.00007050246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978709,0.00007361193,0.00004071759,0.0001382596,0.000007644153,0.00001191061,0.00001765204,0.000002968731,0.001836257],"genre_scores_gemma":[0.997429,0.0001595252,0.00006442384,0.0001500904,0.00000760812,0.00001080858,0.00002292124,0.00000177413,0.002153749],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005866692,"threshold_uncertainty_score":0.01962608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06915347944692977,"score_gpt":0.4264560128924354,"score_spread":0.3573025334455056,"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."}}