{"id":"W2140157922","doi":"10.1111/weng.12157","title":"Sentence‐final adverbs in Singapore English and Hong Kong English","year":2015,"lang":"en","type":"article","venue":"World Englishes","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Sentence; British English; English-based creole languages; History; Computer science; Modern language; Language assessment; Philosophy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001282542,0.000137707,0.0002196483,0.0001932453,0.0001858704,0.0001370482,0.0002023193,0.0001065232,0.0001498968],"category_scores_gemma":[0.008957283,0.0001442679,0.00003654711,0.0005100595,0.0003027953,0.0002910657,0.00007669,0.0002589196,0.0000129091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001385147,"about_ca_system_score_gemma":0.0002346788,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187799,"about_ca_topic_score_gemma":0.01952483,"domain_scores_codex":[0.9984297,0.0002383525,0.0002689603,0.0003165445,0.0003276661,0.0004188102],"domain_scores_gemma":[0.9987422,0.0002397566,0.00008401051,0.0001575796,0.000501189,0.0002752614],"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":[0.00005846413,0.0001497168,0.3417612,0.00002033916,0.00002216325,0.0001437717,0.4439556,0.00007323294,0.000008617528,0.1841731,0.02393251,0.005701192],"study_design_scores_gemma":[0.001631181,0.00004411792,0.02209021,0.00006447847,0.00002257267,0.000001729539,0.07049659,0.00009549422,0.00004152934,0.00553475,0.899572,0.0004054008],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3904608,0.0003416879,0.00003741177,0.0008962735,0.005672277,0.0002671941,0.000006703947,0.0003137541,0.6020038],"genre_scores_gemma":[0.991856,0.00003615327,0.0008356234,0.0003381905,0.002377307,0.00001232464,0.000009242579,0.0000139202,0.004521196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8756394,"threshold_uncertainty_score":0.9993907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05031433929948378,"score_gpt":0.2976485398534406,"score_spread":0.2473342005539568,"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."}}