{"id":"W4281766536","doi":"10.5430/elr.v11n1p54","title":"Reviewer Acknowledgements for English Linguistics Research, Vol. 11, No. 1","year":2022,"lang":"en","type":"article","venue":"English Linguistics Research","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; China; Sociology; Media studies; Political science; Law; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.06597616,0.003056805,0.004390913,0.01177812,0.006561582,0.01218421,0.005269761,0.007651484,0.08864977],"category_scores_gemma":[0.5484573,0.001264115,0.002812851,0.006900285,0.002931035,0.01048514,0.005933006,0.01030257,0.0561334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00657769,"about_ca_system_score_gemma":0.01664078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216663,"about_ca_topic_score_gemma":0.004753875,"domain_scores_codex":[0.9248416,0.02054333,0.01498672,0.00668456,0.03068216,0.002261544],"domain_scores_gemma":[0.1878373,0.0395777,0.01742885,0.01314688,0.7316427,0.01036668],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002248605,0.000003864785,0.0001015125,0.0004324692,0.000009258264,0.00004117624,0.0002370047,0.000007724106,0.00004397667,0.0004766503,0.9904251,0.008198923],"study_design_scores_gemma":[0.00003281648,0.00001405778,0.0003874016,0.001977529,0.00003674504,0.0002952734,0.0008018487,0.0001161758,0.0001123086,0.001144728,0.995029,0.00005210012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0002132036,0.00474774,0.003387346,0.1415922,0.8418253,0.000772188,0.0008681025,0.0007197364,0.005874091],"genre_scores_gemma":[0.01522438,0.01571763,0.01600925,0.2013333,0.5943688,0.008145438,0.003597517,0.005345244,0.1402584],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9340239,"threshold_uncertainty_score":0.3489195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1296472575539559,"score_gpt":0.3881612872198921,"score_spread":0.2585140296659363,"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."}}