{"id":"W2583207413","doi":"10.5539/elt.v10n3p1","title":"Evaluation in Moves: An Integrated Analysis of Chinese MA Thesis Literature Reviews","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Guangdong Office of Philosophy and Social Science","keywords":"Argument (complex analysis); Rhetorical question; Psychology; English for academic purposes; Appraisal theory; China; Linguistics; Academic writing; Mathematics education; Social psychology; Political 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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01508601,0.0005307273,0.0008198794,0.02319587,0.001952646,0.005141915,0.001018538,0.0006115845,0.001864442],"category_scores_gemma":[0.0499277,0.0004232861,0.0008679422,0.0191799,0.001292903,0.003005652,0.002781606,0.0006169172,0.0003613483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003515791,"about_ca_system_score_gemma":0.006384166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004499072,"about_ca_topic_score_gemma":0.01054917,"domain_scores_codex":[0.9846188,0.006432935,0.001948665,0.001005202,0.005341369,0.0006529209],"domain_scores_gemma":[0.9556715,0.02147653,0.005166864,0.001425402,0.01561811,0.000641652],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003821967,0.0002001942,0.06442264,0.005964874,0.0002905307,0.002721049,0.3068274,0.0008728668,0.01583694,0.02489997,0.007839591,0.5697418],"study_design_scores_gemma":[0.0001000646,0.0006900233,0.3774104,0.004316633,0.001211858,0.001161509,0.4234875,0.01644628,0.01311211,0.01662974,0.145085,0.0003488708],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9284873,0.003585968,0.02580113,0.001958735,0.0001846943,0.003656468,0.001783581,0.0003423282,0.03419971],"genre_scores_gemma":[0.9130912,0.002069872,0.07445115,0.0001727456,0.00009837698,0.002871783,0.001620826,0.00008104619,0.005542906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.984914,"threshold_uncertainty_score":0.07978338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02846068169318273,"score_gpt":0.3381839620915307,"score_spread":0.309723280398348,"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."}}