{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003702604,0.0002998853,0.0002428538,0.001362233,0.004982752,0.007402639,0.0007073575,0.002814773,0.0182124],"category_scores_gemma":[0.007648534,0.0002451429,0.0002730768,0.001125725,0.01428808,0.008803033,0.002545968,0.002959802,0.00239796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01461177,"about_ca_system_score_gemma":0.01205486,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06698474,"about_ca_topic_score_gemma":0.06966514,"domain_scores_codex":[0.9963085,0.0009436866,0.0001699131,0.0005105023,0.001309977,0.0007572979],"domain_scores_gemma":[0.9970737,0.0008655292,0.0002392717,0.0002660034,0.001162048,0.0003934685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001158203,0.00001269328,0.0007453304,0.00003848932,0.000002340591,0.00004088541,0.003276126,0.00008514054,0.0001561127,0.9784976,0.005415167,0.01171852],"study_design_scores_gemma":[0.00001569488,0.00002811725,0.005223561,0.0004668966,0.00000980084,0.0001613219,0.01129782,0.0003815865,0.0006232639,0.4209277,0.560836,0.00002814874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02219414,0.001720545,0.008035266,0.03109852,0.0003642028,0.0000760024,0.0001404393,0.00005576199,0.9363151],"genre_scores_gemma":[0.8261714,0.001502725,0.007459733,0.005662556,0.0001724391,0.0001449485,0.0001303045,0.00009271051,0.1586632],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9330152,"threshold_uncertainty_score":0.1331897,"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."}}