{"id":"W3171047904","doi":"","title":"한국 단편애니메이션 활성화를 위한 벤치마킹 - 캐나다 NFB 단편애니메이션 정책 보고논문 -","year":2015,"lang":"ko","type":"article","venue":"일러스트레이션 포럼","topic":"Educational Systems and Policies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Original equipment manufacturer; Business; Political science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001258108,0.0005471993,0.0006101497,0.0002631127,0.0004082846,0.000813672,0.001944294,0.0003289307,0.0003267396],"category_scores_gemma":[0.0002504365,0.000518439,0.0002677777,0.000948969,0.0002319939,0.0008645819,0.0005757272,0.0004671935,0.006296687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002921577,"about_ca_system_score_gemma":0.001329478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005572702,"about_ca_topic_score_gemma":0.0002634077,"domain_scores_codex":[0.9956449,0.0003298208,0.0008459597,0.0009009314,0.001195729,0.001082667],"domain_scores_gemma":[0.9963062,0.0002776957,0.0004065376,0.001559047,0.0005387892,0.0009116993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001972391,0.0005253662,0.01395191,0.0001429737,0.0001479596,0.00004935868,0.03851967,0.0002044547,0.000315273,0.2550164,0.6808033,0.01030361],"study_design_scores_gemma":[0.0008368032,0.0003749551,0.02305913,0.0002888166,0.00005047987,0.0001585157,0.001190485,0.001640913,0.000591997,0.01182218,0.9589916,0.0009940538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6371628,0.02174297,0.01705614,0.08714398,0.05845602,0.002354369,0.0002804915,0.001191758,0.1746114],"genre_scores_gemma":[0.9462161,0.0001120048,0.004037781,0.003003885,0.005713688,0.00006533121,0.00003470856,0.00006611385,0.04075038],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3090533,"threshold_uncertainty_score":0.9997267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0672624172050814,"score_gpt":0.3132052008754869,"score_spread":0.2459427836704055,"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."}}