{"id":"W1604493298","doi":"","title":"공공미술 정보망 구축의 방안","year":2003,"lang":"ko","type":"article","venue":"예술경영연구","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Museum informatics; World Wide Web; Exhibition; The Internet; Documentation; Context (archaeology); Standardization; Museology; Computer science; Library science; Geography; Archaeology","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":[0.0008081259,0.0004216973,0.0002564031,0.0007864074,0.002670937,0.004303981,0.0006837056,0.001027819,0.1458873],"category_scores_gemma":[0.002528904,0.0002014835,0.0004175499,0.001117573,0.001152101,0.002809643,0.001732935,0.00155231,0.06467275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001991195,"about_ca_system_score_gemma":0.002485865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007074556,"about_ca_topic_score_gemma":0.007986615,"domain_scores_codex":[0.9990202,0.0001923541,0.00005472936,0.0002143606,0.0003683496,0.0001499005],"domain_scores_gemma":[0.9987281,0.0001393179,0.0001101667,0.0001277819,0.000702113,0.0001925589],"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":[0.0001459543,0.0001134794,0.00548441,0.0005811976,0.0000348019,0.0006109022,0.00492064,0.0004361406,0.002683485,0.1687131,0.4424898,0.3737862],"study_design_scores_gemma":[0.000005502538,0.00002818647,0.002238149,0.0001260025,0.000008471908,0.0002354626,0.001290135,0.0002092853,0.0006161287,0.007448439,0.9877758,0.00001854431],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01245999,0.003746776,0.009970937,0.01113328,0.003178903,0.0002297903,0.001044815,0.0006374568,0.9575981],"genre_scores_gemma":[0.1275085,0.005998418,0.01105452,0.004940905,0.0008964991,0.0001871201,0.002110206,0.000265917,0.847038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1458873,"threshold_uncertainty_score":0.4880416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03724013862026469,"score_gpt":0.3210368770741875,"score_spread":0.2837967384539228,"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."}}