{"id":"W1797176612","doi":"","title":"공연예술콘텐츠를 활용한 문화산업단지 조성 사례 연구","year":2007,"lang":"ko","type":"article","venue":"예술경영연구","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The arts; Performing arts; Sociology; Promotion (chess); Political science; Public relations; Visual arts; Art; Politics; Law","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":["insufficient_payload"],"category_scores_codex":[0.001295743,0.0002905432,0.0003137866,0.00007344462,0.000919646,0.0002449733,0.0004998996,0.000440754,0.008015738],"category_scores_gemma":[0.0001773842,0.0002549261,0.0001687898,0.0008207038,0.0003954065,0.00025555,0.0001617436,0.0004426058,0.001861545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000402331,"about_ca_system_score_gemma":0.0003017883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005864053,"about_ca_topic_score_gemma":0.005906361,"domain_scores_codex":[0.9971011,0.00008346656,0.0005233121,0.0004630543,0.0007677422,0.001061308],"domain_scores_gemma":[0.9987689,0.0001531826,0.0001866161,0.0002680875,0.0001781012,0.0004451046],"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":[0.00004718101,0.0001546647,0.02901366,0.00002266365,0.00009831285,0.0001179899,0.01737698,0.00000339133,0.0001762983,0.007015879,0.8257919,0.1201811],"study_design_scores_gemma":[0.0002970961,0.00006139171,0.04543692,0.00006231987,0.00002988247,0.000004455915,0.01355844,0.000004857495,0.0007637668,0.0004150343,0.9389464,0.0004195024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6065481,0.002039388,0.0001377444,0.03049791,0.006072928,0.0007717957,0.00003259916,0.0002546802,0.3536448],"genre_scores_gemma":[0.6538935,0.0003632896,0.000200369,0.000980289,0.001689109,0.000005112095,0.00001364891,0.00001999638,0.3428347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1197616,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05393467826826921,"score_gpt":0.3108902419187412,"score_spread":0.256955563650472,"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."}}