{"id":"W4245709233","doi":"10.5539/ells.v4n4p113","title":"Reviewer Acknowledgements for English Language and Literature Studies, Vol. 4, No. 4","year":2014,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Linguistics; Computer science; English language; Natural language processing; Philosophy","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":[],"consensus_categories":[],"category_scores_codex":[0.1372313,0.003842976,0.01206317,0.02008864,0.006777171,0.01086977,0.008541212,0.01636438,0.06341767],"category_scores_gemma":[0.7220954,0.002999114,0.007703024,0.01096505,0.00534321,0.0108726,0.006995298,0.01205197,0.02546398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0108784,"about_ca_system_score_gemma":0.029943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01121738,"about_ca_topic_score_gemma":0.01521374,"domain_scores_codex":[0.8584605,0.04152645,0.04653184,0.007747056,0.0420384,0.003695736],"domain_scores_gemma":[0.1062403,0.06135596,0.02364829,0.01629179,0.7864412,0.006022517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001939948,0.00001906659,0.0004951576,0.01272261,0.0001494099,0.0003293137,0.001781899,0.00004780306,0.0004296242,0.0008761247,0.9660345,0.01692045],"study_design_scores_gemma":[0.00136062,0.00006251601,0.002817646,0.05098967,0.0007437413,0.001209469,0.003833851,0.0007767333,0.0008087261,0.005244883,0.9317802,0.0003719397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001286664,0.01537243,0.00667917,0.2369383,0.7088025,0.01370906,0.008112755,0.001566604,0.007532497],"genre_scores_gemma":[0.0372544,0.02272257,0.03995417,0.3327014,0.3017324,0.1519887,0.006990904,0.006741661,0.09991382],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1372313,"threshold_uncertainty_score":0.7257574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151357684953606,"score_gpt":0.2798491129471396,"score_spread":0.264713344451779,"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."}}