{"id":"W2944652618","doi":"10.5539/ijel.v9n3p310","title":"Cognitive and Discoursive Features of Speech Etiquette in Corporate Communication","year":2019,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"Language, Communication, and Linguistic Studies","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RUDN University","keywords":"Etiquette; Formality; Psychology; Perspective (graphical); Conditionality; Linguistics; Cognition; Social psychology; Computer science; Political science; Politics; Law; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009453847,0.00007173285,0.0001916974,0.0001517143,0.00005817428,0.00004376351,0.0004454539,0.00005837359,0.0000372737],"category_scores_gemma":[0.08105898,0.00006660651,0.00004465404,0.0001018073,0.0002731553,0.00005087721,0.00009243398,0.0002559143,0.000001273695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006872042,"about_ca_system_score_gemma":0.0001593491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005461524,"about_ca_topic_score_gemma":0.0009475078,"domain_scores_codex":[0.9988451,0.0001965387,0.0003826688,0.00007142788,0.0004094579,0.00009479998],"domain_scores_gemma":[0.9834936,0.001115654,0.0007042143,0.000109186,0.01453534,0.00004206006],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004289529,0.0002901531,0.3643726,0.00004105856,0.0004830765,0.00005270498,0.1697667,0.00006408039,0.00002459454,0.4551236,0.002694551,0.006657989],"study_design_scores_gemma":[0.006363642,0.0004425047,0.3577376,0.002931799,0.0002944885,0.000009012123,0.2292613,0.00006921028,0.001144198,0.09241492,0.3085641,0.0007673178],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5991447,0.003676763,0.00005142923,0.0004738648,0.007607576,0.0002629299,0.00005327721,0.00001466333,0.3887148],"genre_scores_gemma":[0.9942054,0.002190704,0.001165778,0.00006681958,0.002112175,8.9794e-7,0.000007945101,0.000006422311,0.0002438563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3950607,"threshold_uncertainty_score":0.9266816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02397531420485515,"score_gpt":0.3423287142714064,"score_spread":0.3183534000665513,"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."}}