{"id":"W4242900112","doi":"10.5539/ells.v7n4p110","title":"Reviewer Acknowledgements for English Language and Literature Studies, Vol. 7, No. 4","year":2017,"lang":"en","type":"article","venue":"English Language and Literature Studies","topic":"Subtitles and Audiovisual Media","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; English language; Computer science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.1152699,0.004160062,0.01295399,0.01482904,0.006492968,0.01088537,0.008622637,0.01529417,0.06234816],"category_scores_gemma":[0.7086768,0.002866086,0.00823983,0.007575388,0.004796621,0.01057826,0.007143892,0.01065114,0.02873025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01033812,"about_ca_system_score_gemma":0.0243237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009269598,"about_ca_topic_score_gemma":0.01211813,"domain_scores_codex":[0.8594864,0.03967788,0.04617724,0.008001161,0.04294939,0.00370792],"domain_scores_gemma":[0.1311097,0.0515598,0.03042464,0.01306502,0.7685422,0.005298527],"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":[0.0001848024,0.00001416808,0.0004484645,0.01417687,0.0001467253,0.0002937156,0.001338921,0.00004324503,0.0002803313,0.0007409283,0.9660658,0.01626612],"study_design_scores_gemma":[0.001721691,0.00008133264,0.002199553,0.09535844,0.001077536,0.001807916,0.004394856,0.0008810512,0.001083834,0.006685368,0.8841906,0.000517802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001484326,0.02682434,0.008427916,0.2621795,0.6620626,0.01717891,0.009637731,0.00180593,0.01039869],"genre_scores_gemma":[0.03978887,0.03328831,0.03190583,0.3689603,0.2720751,0.1477007,0.007564691,0.006089444,0.0926268],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9376518,"threshold_uncertainty_score":0.6096128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02601843745331611,"score_gpt":0.3081024040277098,"score_spread":0.2820839665743937,"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."}}