{"id":"W1885693054","doi":"10.1002/j.1545-7249.2008.tb00138.x","title":"Air Traffic Communication in a Second Language: Implications of Cognitive Factors for Training and Assessment","year":2008,"lang":"en","type":"article","venue":"TESOL Quarterly","topic":"Speech and dialogue systems","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université du Québec","funders":"","keywords":"Workload; Fluency; Language proficiency; Air traffic control; Mandarin Chinese; Task (project management); Psychology; Cognition; Speech production; Computer science; Speech recognition; Linguistics; Mathematics education; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001553039,0.00007021445,0.0001475156,0.00009234058,0.00007094257,0.00001515036,0.0002077129,0.00003555958,0.000003179806],"category_scores_gemma":[0.00002440524,0.00006730522,0.00003043851,0.0001458182,0.00004853769,0.0001943545,0.00001169431,0.00006421715,9.353853e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001818449,"about_ca_system_score_gemma":0.00007996694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005925825,"about_ca_topic_score_gemma":0.0003265935,"domain_scores_codex":[0.9993992,0.00005371025,0.0002009508,0.0001531576,0.00006323779,0.0001297239],"domain_scores_gemma":[0.9990599,0.0005227267,0.00009163855,0.0002339533,0.00004978574,0.00004199299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00002187349,0.0004775698,0.02084463,0.0001068271,0.00006124671,0.000005491088,0.6659117,0.00001608524,0.005124119,0.01221032,0.0004213027,0.2947988],"study_design_scores_gemma":[0.002379356,0.001263763,0.9544489,0.0001186188,0.00001098083,0.00004424016,0.03119805,0.007581682,0.000742813,0.001805305,0.0001068331,0.0002994967],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753303,0.0001523192,0.02322914,0.0001438671,0.0000259955,0.0003650348,0.00003304004,0.00004449046,0.0006758149],"genre_scores_gemma":[0.9928777,0.000001827132,0.006937618,0.00004018472,0.000009321064,0.00007867288,0.00003035221,0.000004479099,0.00001982148],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9336042,"threshold_uncertainty_score":0.2744627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04289095487607282,"score_gpt":0.3068395576054961,"score_spread":0.2639486027294233,"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."}}