{"id":"W1694108969","doi":"","title":"Applying Corpus Linguistics in Discourse Analysis","year":2013,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corpus linguistics; Linguistics; Applied linguistics; Discourse analysis; Sociology; Qualitative research; Computational linguistics; Social 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002108955,0.0002394783,0.0005671039,0.0005782879,0.0001598038,0.0002516395,0.0001303989,0.00004643467,0.0003136951],"category_scores_gemma":[0.0003674579,0.0001733597,0.0001125171,0.0004617211,0.0005125702,0.0001601075,0.0001436527,0.0002654391,0.00001418346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003353052,"about_ca_system_score_gemma":0.00000625559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007935591,"about_ca_topic_score_gemma":0.01241619,"domain_scores_codex":[0.9987557,0.00006449825,0.0003470105,0.000337047,0.0001670492,0.0003286841],"domain_scores_gemma":[0.9993113,0.0001555545,0.00008449502,0.0002544167,0.0001553279,0.00003895909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001072216,0.0001143725,0.01479436,0.0001576842,0.001510951,0.0003450444,0.8941055,0.00003419635,0.00001405725,0.07696617,0.003166597,0.00878037],"study_design_scores_gemma":[0.0008490852,0.00007267307,0.004486414,0.0006339691,0.001021751,0.00000320292,0.9474775,0.0003268732,0.00001587787,0.005028325,0.03927315,0.0008112015],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6186636,0.2031541,0.000007544195,0.0003457545,0.00103277,0.0007847011,0.00008679437,0.00008730918,0.1758374],"genre_scores_gemma":[0.9925116,0.001032642,0.0001402879,0.0003797474,0.0007867882,0.0002725483,0.00003998752,0.00001482973,0.004821555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.373848,"threshold_uncertainty_score":0.7069404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955974972411451,"score_gpt":0.3152728533526061,"score_spread":0.2957131036284916,"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."}}