{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.001377011,0.0001071391,0.0001979182,0.0003402507,0.0002359271,0.00006855445,0.0007007585,0.00005992072,0.0007238069],"category_scores_gemma":[0.05685539,0.0001169269,0.0001179113,0.0002522747,0.0001295112,0.00009208076,0.000110266,0.0006011691,0.000001514535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005758173,"about_ca_system_score_gemma":0.0003087898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002543205,"about_ca_topic_score_gemma":0.000526553,"domain_scores_codex":[0.9977655,0.0002662363,0.0005898415,0.0001433214,0.001034068,0.0002010443],"domain_scores_gemma":[0.9900677,0.0002453344,0.000344684,0.00009202573,0.009167651,0.0000825551],"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":[0.0002727589,0.0003861487,0.08528107,0.00001521971,0.0004655053,0.0004082281,0.8671191,0.003899209,0.00001637114,0.0172139,0.009651571,0.01527089],"study_design_scores_gemma":[0.001628858,0.00008526518,0.002875711,0.00002658058,0.00003735066,0.000008603901,0.07851596,0.0001001272,0.00001566577,0.03526685,0.8811713,0.0002676861],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4596374,0.001925266,0.0004436149,0.0003187818,0.1846236,0.0002694069,0.0000790974,0.0001055872,0.3525973],"genre_scores_gemma":[0.9820427,0.00009418583,0.00269881,0.0001390485,0.01491763,0.000004508569,0.000006640988,0.00001481105,0.00008170134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8715197,"threshold_uncertainty_score":0.9510891,"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."}}