{"id":"W4240295306","doi":"10.5430/elr.v9n3p54","title":"Reviewer Acknowledgements for English Linguistics Research, Vol. 9, No. 3","year":2020,"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":"Suite; Library science; Sociology; Linguistics; Political science; Computer science; Philosophy; Law","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":[0.01726715,0.0002980552,0.000564428,0.0004139389,0.002428466,0.000508427,0.001582814,0.0004958858,0.002298306],"category_scores_gemma":[0.9962667,0.0003217788,0.0001978977,0.001771065,0.001284704,0.00003833808,0.0006569991,0.001975414,0.002304114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004790585,"about_ca_system_score_gemma":0.001970325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002720072,"about_ca_topic_score_gemma":0.0002299598,"domain_scores_codex":[0.9909698,0.002259642,0.0008642729,0.001075032,0.002734446,0.002096834],"domain_scores_gemma":[0.08183192,0.00768877,0.0002157542,0.0009287353,0.9077724,0.001562461],"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":[0.00007272155,0.0001561338,0.0003458477,0.0003337511,0.00004458183,0.00001062668,0.01786419,0.000003669998,0.0000018224,0.09538387,0.8854351,0.0003476724],"study_design_scores_gemma":[0.0008553084,0.0003282948,0.00002094736,0.0001180853,0.00002945384,4.560508e-9,0.003549806,0.0003795169,0.00005923579,0.005340588,0.9889866,0.000332232],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.00008035464,0.0008399388,0.0005893995,0.0002143111,0.2416,0.002855586,0.0002177352,0.0004630972,0.7531396],"genre_scores_gemma":[0.04235901,0.001714109,0.01022275,0.001211636,0.9036064,0.0005028038,0.00024062,0.000192102,0.03995059],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.9789996,"threshold_uncertainty_score":0.9999234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.181990532068069,"score_gpt":0.459511816460704,"score_spread":0.277521284392635,"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."}}