{"id":"W4213027101","doi":"10.5430/elr.v10n3p77","title":"Reviewer Acknowledgements for English Linguistics Research, Vol. 10, No. 3","year":2021,"lang":"en","type":"article","venue":"English Linguistics Research","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; China; Sociology; History; Computer science; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02229984,0.0002986184,0.0005765323,0.0005336668,0.002828085,0.0006568686,0.001232937,0.0005687894,0.006965886],"category_scores_gemma":[0.9954921,0.0003333664,0.0002258559,0.001968519,0.001254616,0.00003801014,0.0007485021,0.001738187,0.002565071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007234767,"about_ca_system_score_gemma":0.003885908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000246783,"about_ca_topic_score_gemma":0.0007225149,"domain_scores_codex":[0.9897571,0.00307735,0.0008936117,0.001141028,0.002874186,0.002256704],"domain_scores_gemma":[0.09021568,0.008963797,0.0001826436,0.001282911,0.8984267,0.0009283363],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000424035,0.0003032082,0.0002014225,0.0002809216,0.00005551587,0.00003330299,0.006990072,0.000002363878,0.00000279415,0.13598,0.8556778,0.000430208],"study_design_scores_gemma":[0.0008513465,0.0001594118,0.00002190869,0.0001983866,0.00003461966,2.449205e-8,0.003719486,0.0001185882,0.0001680072,0.01085681,0.9835274,0.0003440472],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.00006401434,0.001297051,0.0002162213,0.00006245288,0.2128796,0.001339581,0.000166507,0.0002389377,0.7837356],"genre_scores_gemma":[0.01146271,0.00250222,0.01150486,0.0003473328,0.5624279,0.0004745833,0.0004481199,0.0001670992,0.4106652],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9731923,"threshold_uncertainty_score":0.9999118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1497446186636604,"score_gpt":0.4642225479871452,"score_spread":0.3144779293234848,"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."}}