{"id":"W7033736051","doi":"","title":"Restaurant business","year":2020,"lang":"en","type":"other","venue":"Electronic archive of KNUTD (Kyiv National University of Technologies and Design)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Business English; Value (mathematics); Latin Americans; English as a second language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008849369,0.0001527683,0.000372317,0.0009069057,0.0001006715,0.00002594285,0.001354241,0.0001182154,0.0002238662],"category_scores_gemma":[0.001406649,0.0001376382,0.00008002597,0.0008962179,0.0005890251,0.00006479539,0.0009009782,0.0001881166,0.00002438116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004112664,"about_ca_system_score_gemma":0.000305335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000143614,"about_ca_topic_score_gemma":0.0001241777,"domain_scores_codex":[0.9978818,0.00008277852,0.0002429759,0.0005852926,0.0009912384,0.000215935],"domain_scores_gemma":[0.9982121,0.0006143978,0.0005283831,0.0004266263,0.0001882503,0.00003024407],"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":[0.00007485715,0.00004051708,0.00003516509,0.0000335132,0.0000848488,0.000007728859,0.00005582188,0.00009619507,0.0001509289,0.05338909,0.8901113,0.05592005],"study_design_scores_gemma":[0.0003968893,0.0001462282,0.0004246733,0.00009462007,0.00003139417,0.000003110528,0.001344212,0.002011888,0.00009637745,0.1146228,0.8806363,0.0001915225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0002170099,0.002976904,0.7247579,0.006806117,0.0002238608,0.0007691039,0.0006442548,0.0006422,0.2629627],"genre_scores_gemma":[0.2059373,0.01025034,0.2150151,0.0001515273,0.0001750444,0.00000299365,0.0003856109,0.0002470849,0.567835],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5097427,"threshold_uncertainty_score":0.5612721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0575711776489804,"score_gpt":0.2739574953957761,"score_spread":0.2163863177467957,"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."}}