{"id":"W7164892263","doi":"10.1080/17153379.2023.12558344","title":"Popular Culture and the Transformation of Japan-Korea Relations.","year":2023,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Asian Culture and Media Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Popular culture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001229055,0.0001685161,0.0001100661,0.0009401194,0.003845803,0.00658424,0.0003564067,0.0006503412,0.009522405],"category_scores_gemma":[0.002954375,0.0001502155,0.0001073289,0.001697019,0.003983507,0.003799751,0.002340108,0.001550327,0.0004261951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002344719,"about_ca_system_score_gemma":0.002636493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01586444,"about_ca_topic_score_gemma":0.03767385,"domain_scores_codex":[0.9992328,0.0003330375,0.00002716049,0.00006462503,0.00007575389,0.0002666796],"domain_scores_gemma":[0.998044,0.0005382646,0.0005222779,0.00008271115,0.0002509139,0.0005617572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004765301,0.0003878823,0.1420219,0.0002992736,0.0000951607,0.002142755,0.3976358,0.0001963474,0.001939978,0.3568025,0.01773327,0.08026874],"study_design_scores_gemma":[0.00004553527,0.0001334092,0.2884096,0.0002212692,0.00007172884,0.0002974127,0.5327352,0.0003586637,0.001072524,0.01514683,0.1614599,0.00004806677],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7813524,0.002651782,0.000205036,0.01174971,0.0001686345,0.00001575568,0.0001129441,0.00001321649,0.2037305],"genre_scores_gemma":[0.9955665,0.0003755252,0.00002357301,0.0002859098,0.00002221587,0.000003850934,0.0000115173,0.000005579944,0.003705213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01586444,"threshold_uncertainty_score":0.03185564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415156807498004,"score_gpt":0.2601757274289764,"score_spread":0.2460241593539964,"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."}}