{"id":"W2886935126","doi":"","title":"문법적 연어와 한국어 교육 -조사적 연어를 중심으로-","year":2009,"lang":"ko","type":"article","venue":"한국어 교육","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collocation (remote sensing); Computer science; Natural language processing; Artificial intelligence; Linguistics; Machine learning","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":[0.0004746128,0.0003385288,0.0002966142,0.001085548,0.001860911,0.001542218,0.0002363016,0.0002602341,0.01213998],"category_scores_gemma":[0.001103011,0.0001611553,0.0001536689,0.00285576,0.001115296,0.002172775,0.001030535,0.0009540701,0.002704748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004515447,"about_ca_system_score_gemma":0.0008385521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001817501,"about_ca_topic_score_gemma":0.006191931,"domain_scores_codex":[0.9997459,0.00004245367,0.00005883948,0.0000546735,0.00005746939,0.00004061095],"domain_scores_gemma":[0.9992331,0.0002030902,0.0001638219,0.0001413182,0.0001998427,0.00005881542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00138072,0.0001571859,0.1201657,0.003357586,0.00008359358,0.0038378,0.0498112,0.0004757247,0.02542466,0.2513884,0.04671004,0.4972075],"study_design_scores_gemma":[0.00002466439,0.0001334487,0.05745303,0.0005122304,0.00005941985,0.00542882,0.04782661,0.0003512054,0.008861451,0.006667575,0.8725862,0.0000953632],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6455925,0.008382759,0.01932803,0.003981782,0.001781712,0.0001603824,0.002597328,0.0002987522,0.3178768],"genre_scores_gemma":[0.9359905,0.002764629,0.01542811,0.00050113,0.00008233095,0.00007414058,0.002428208,0.000223974,0.04250709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01213998,"threshold_uncertainty_score":0.04061228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716102688304315,"score_gpt":0.2317454668592516,"score_spread":0.2145844399762085,"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."}}