{"id":"W2939024862","doi":"","title":"프로젝트 기반의 한국어 교육 -북트레일러 제작 수업 및 학습자 반응 연구","year":2018,"lang":"ko","type":"article","venue":"외국어로서의 한국어교육","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Vocabulary; Class (philosophy); Curriculum; Context (archaeology); Grammar; The Internet; Multimedia; Reading (process); Mathematics education; Pedagogy; World Wide Web; Psychology; Linguistics; Artificial intelligence","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":[0.0005935831,0.0002042945,0.0001497184,0.0003612278,0.001250182,0.0009919683,0.000251631,0.0004594697,0.01163793],"category_scores_gemma":[0.001178582,0.00009419978,0.0002288043,0.0002438886,0.0008812047,0.0006184938,0.0008405929,0.00072723,0.001508687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001035257,"about_ca_system_score_gemma":0.002545125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003880379,"about_ca_topic_score_gemma":0.01071149,"domain_scores_codex":[0.9996388,0.0001051205,0.00001978157,0.00004719356,0.00010157,0.00008760143],"domain_scores_gemma":[0.9996368,0.00007094504,0.00004468725,0.00001567447,0.00006366511,0.0001682522],"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":[0.0003558336,0.00572066,0.03862039,0.001042482,0.00003677105,0.0008778687,0.03120202,0.0005257211,0.007563336,0.01065729,0.01417064,0.8892272],"study_design_scores_gemma":[0.0005355435,0.01043532,0.3686281,0.001800245,0.0001751213,0.002175892,0.08820201,0.00104748,0.01724262,0.01100591,0.4986332,0.0001185525],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860312,0.001944538,0.005986576,0.00461614,0.000219082,0.0006926238,0.00009944012,0.0001674475,0.100243],"genre_scores_gemma":[0.9460743,0.002987004,0.008745368,0.0005885627,0.00003408138,0.0006221523,0.000105232,0.00001051949,0.04083283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01163793,"threshold_uncertainty_score":0.03893274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0407897774283253,"score_gpt":0.342316830536707,"score_spread":0.3015270531083817,"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."}}