{"id":"W2484085483","doi":"","title":"영어과 원격 교사연수의 세방화(glocalization)를 위한국내외 원격 교사연수 비교 분석","year":2014,"lang":"ko","type":"article","venue":"영어영문학","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical education; Psychology; Service (business); Training (meteorology); Pedagogy; Mathematics education; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001360405,0.0003077566,0.0001972741,0.0006375478,0.0008990973,0.002159242,0.0006994905,0.0004395093,0.00418815],"category_scores_gemma":[0.005997853,0.0001405782,0.000328438,0.0006682994,0.001980188,0.002069423,0.002028863,0.001056542,0.0006535265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002417099,"about_ca_system_score_gemma":0.002803793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005230695,"about_ca_topic_score_gemma":0.008641093,"domain_scores_codex":[0.9983752,0.0007439191,0.000143786,0.0001669386,0.0003538465,0.0002163543],"domain_scores_gemma":[0.9965637,0.0006301567,0.0006423299,0.0006676795,0.00115691,0.0003391937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003342298,0.0007467708,0.07657357,0.001780526,0.00006329338,0.001386693,0.1625501,0.001951872,0.02563748,0.07663369,0.0237707,0.628571],"study_design_scores_gemma":[0.0001130161,0.0008986514,0.2289196,0.001606954,0.0001057709,0.002013425,0.2591265,0.007070727,0.01219083,0.02130621,0.4663991,0.0002491836],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8648109,0.0004534449,0.03165107,0.002648551,0.0003067989,0.001083998,0.0004336339,0.0005603014,0.09805121],"genre_scores_gemma":[0.95464,0.0004242457,0.02548768,0.0009118124,0.00003795919,0.0008283585,0.0005682181,0.000136133,0.01696559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005230695,"threshold_uncertainty_score":0.01753742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02240218247505954,"score_gpt":0.3001523354622235,"score_spread":0.277750152987164,"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."}}