{"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,"ca_institutions":"","funders":"","keywords":"Reading (process); Test (biology); Psychology; Mathematics education; Quarter (Canadian coin); Linguistics","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":[0.0005654904,0.0001458304,0.00012141,0.0006894509,0.0002263616,0.0004803561,0.00014988,0.0001934168,0.003075835],"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"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02807878334198681,"score_gpt":0.2899200419469318,"score_spread":0.2618412586049449,"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."}}