{"id":"W4310495744","doi":"10.5539/ijel.v13n1p65","title":"Gender Reconstruction in Chinese Ci When Translated into English","year":2022,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lyrics; Context (archaeology); Value (mathematics); Linguistics; Power (physics); Critical discourse analysis; Psychology; Sociology; Gender studies; Literature; History; Computer science; Political science; Art; Philosophy; Politics; Law","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":[0.002514211,0.0004765136,0.0002361642,0.001417283,0.003669021,0.002755469,0.0003447897,0.0003819921,0.003492504],"category_scores_gemma":[0.004912274,0.0001290979,0.0002031486,0.001902972,0.003809538,0.001660625,0.001582447,0.0008078661,0.0003084963],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003788188,"about_ca_system_score_gemma":0.003804431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959938,"about_ca_topic_score_gemma":0.02341364,"domain_scores_codex":[0.998376,0.0007539756,0.00007419355,0.0001829023,0.0003876783,0.0002253602],"domain_scores_gemma":[0.9984481,0.0006759161,0.000208288,0.0001349481,0.0004341776,0.00009851099],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001737258,0.0000277036,0.01218355,0.0002749972,0.00001052175,0.001713803,0.8915398,0.0001320277,0.009409695,0.03566796,0.001930953,0.04693534],"study_design_scores_gemma":[0.00002283571,0.0002198038,0.06454879,0.0003730366,0.00005806696,0.001441791,0.7774356,0.001379503,0.01256071,0.006287482,0.1355818,0.00009051306],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9322595,0.0009948306,0.002580954,0.001358631,0.0002742481,0.00005511246,0.0001111622,0.00004865356,0.06231694],"genre_scores_gemma":[0.9927596,0.0002739487,0.0006209343,0.0001281904,0.00003561165,0.00002046417,0.0000477721,0.00003170736,0.006081867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01959938,"threshold_uncertainty_score":0.03897059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189983131135497,"score_gpt":0.3174381352038735,"score_spread":0.2984398220903238,"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."}}