{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":2,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":2,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"92f21ff3e31e","filters":{"venue":"언어과학"}},"results":[{"id":"W3214027216","doi":"","title":"독자변인을 적용한 영어와 국어 읽기능력 진단체계의 독서지수 상관관계 분석","year":2021,"lang":"ko","type":"article","venue":"언어과학","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Reading (process); Test (biology); Psychology; Mathematics education; Quarter (Canadian coin); Linguistics","authors":[{"name":"우길주","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02807878334198681,"gpt":0.2899200419469318,"spread":0.2618412586049449,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005654904,0.0001458304,0.00012141,0.0006894509,0.0002263616,0.0004803561,0.00014988,0.0001934168,0.003075835],"category_scores_gemma":[0.005044916,0.0000952977,0.0001233813,0.000417501,0.0003808053,0.0003157248,0.0001933252,0.0003038197,0.0006486365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001937171,"about_ca_system_score_gemma":0.0004116856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462115,"about_ca_topic_score_gemma":0.004702187,"domain_scores_codex":[0.999637,0.00007706347,0.00004744755,0.00005614946,0.0001123742,0.00006998858],"domain_scores_gemma":[0.9949983,0.001889124,0.001691354,0.0001660249,0.0007370307,0.0005181151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003603201,0.000113597,0.991174,0.0000106964,0.000009540988,0.00009087017,0.0004077088,0.00003340654,0.0005511328,0.00005490606,0.00009994051,0.007418114],"study_design_scores_gemma":[0.00000145584,0.0001232809,0.9983906,0.00000310659,0.000004832412,0.0001492961,0.0007519777,0.00007687957,0.0002945257,0.00003272002,0.0001692072,0.000002237164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991248,0.00002061804,0.00004498467,0.00001852391,0.000001329384,0.000003266712,0.00002260024,0.000001837946,0.0007621721],"genre_scores_gemma":[0.9993923,0.00002456107,0.0001290318,0.00000959726,0.00000189071,0.00000488741,0.00008652301,6.709991e-7,0.000350591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003075835,"threshold_uncertainty_score":0.01028973,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3183792165","doi":"","title":"Error Patterns and Interference Features of French-Speaking Learners of KSL/KFL","year":2007,"lang":"en","type":"article","venue":"언어과학","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Linguistics; Pronunciation; Vocabulary; Spelling; Computer science; First language; Artificial intelligence; Word order; Suffix; Language transfer; Natural language processing; Verb; Contrastive analysis; Politeness; Error analysis; Second-language acquisition; Second language; Psychology; Comprehension approach; Natural language; Mathematics","authors":[{"name":"Seong-Sook Yim","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03975713725728201,"gpt":0.2753190900037494,"spread":0.2355619527464674,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007646285,0.0004722911,0.0003932701,0.00157021,0.0003980427,0.0007072496,0.0004000384,0.0005806329,0.001117158],"category_scores_gemma":[0.009032021,0.0002121688,0.0001820613,0.0005236744,0.0006626539,0.0004517551,0.0006302174,0.0003099192,0.0003935606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003382599,"about_ca_system_score_gemma":0.0003730005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007455807,"about_ca_topic_score_gemma":0.007750607,"domain_scores_codex":[0.9987184,0.0002823592,0.0002194298,0.0002205448,0.0004068866,0.0001524178],"domain_scores_gemma":[0.9921762,0.003273482,0.002398958,0.0003532405,0.001456945,0.0003411547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005222337,0.0001767325,0.8916067,0.0001124698,0.00005128403,0.004656288,0.03447269,0.0002529378,0.02799948,0.00009184593,0.0001758691,0.03988139],"study_design_scores_gemma":[0.00001880308,0.0005807319,0.9463488,0.0000417423,0.00005377824,0.0137634,0.02497185,0.001382227,0.01063444,0.0001196769,0.002019598,0.00006494223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995567,0.00005312403,0.0001452928,0.00001479865,0.000001198809,0.000003957528,0.00003049211,0.000009471571,0.0001849448],"genre_scores_gemma":[0.9990755,0.00006352938,0.0003012234,0.00001540706,0.00000237614,0.000007546657,0.00009270733,0.00001252965,0.0004291146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007455807,"threshold_uncertainty_score":0.01482481,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}