{"id":"W2809285994","doi":"10.5539/ass.v14n7p86","title":"On the Cultural Selection of Hua Chun: A Chinese Japanese Female Writer","year":2018,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Embarrassment; Japanese culture; Theme (computing); Perspective (graphical); Chinese culture; Sociology; China; Selection (genetic algorithm); Space (punctuation); Aesthetics; Psychology; Social psychology; Political science; Literature; Art; Law; Linguistics; Visual arts; Philosophy; Computer science","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":[0.0007482579,0.0007122087,0.0002777316,0.0006237021,0.008993721,0.002473827,0.0005065966,0.0008338912,0.002028845],"category_scores_gemma":[0.00137982,0.000238724,0.0001813937,0.000683807,0.003508473,0.001369181,0.001386855,0.001802747,0.0003469652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001653575,"about_ca_system_score_gemma":0.001795829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009859213,"about_ca_topic_score_gemma":0.02795034,"domain_scores_codex":[0.9995098,0.0001749738,0.00001867429,0.00006318623,0.0001053326,0.0001279739],"domain_scores_gemma":[0.9990736,0.0002129733,0.00007365364,0.00002868039,0.0003460876,0.0002650104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001545633,0.00004412404,0.007830119,0.0004189782,0.00002874415,0.01259699,0.7799779,0.0001329588,0.01193461,0.0245193,0.1344144,0.0279473],"study_design_scores_gemma":[0.00002337967,0.00007998139,0.01818774,0.0003341923,0.00006189071,0.005710477,0.4436321,0.0003712067,0.005144758,0.001267751,0.5250704,0.000116007],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7096068,0.01130332,0.002772927,0.04570358,0.008256989,0.0001368644,0.0001690021,0.000167022,0.2218835],"genre_scores_gemma":[0.9255538,0.001785175,0.0008325682,0.004340526,0.001037952,0.0000747161,0.00004959175,0.0001465618,0.06617918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009859213,"threshold_uncertainty_score":0.01960361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01789180753368669,"score_gpt":0.3086397970229088,"score_spread":0.2907479894892221,"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."}}