{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03925313,0.001345327,0.001248692,0.0233223,0.007534725,0.01561011,0.002670142,0.002237805,0.007840651],"category_scores_gemma":[0.08156826,0.001297157,0.0008910957,0.0228169,0.008991762,0.01320338,0.006914036,0.003463782,0.001241041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00571125,"about_ca_system_score_gemma":0.008748581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006188595,"about_ca_topic_score_gemma":0.006134771,"domain_scores_codex":[0.9287444,0.06116373,0.003497316,0.002688357,0.003251193,0.0006551183],"domain_scores_gemma":[0.8514664,0.1294147,0.003867475,0.007240021,0.007253262,0.0007582156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001216548,0.0002451637,0.005539349,0.00293074,0.0001680259,0.001047771,0.1819526,0.002475199,0.003621006,0.5517222,0.01157656,0.2385997],"study_design_scores_gemma":[0.0001114731,0.0001587022,0.005757444,0.006258393,0.0001249955,0.001143505,0.149297,0.02731337,0.007479228,0.4206338,0.3814985,0.0002236086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05009773,0.01066177,0.8451309,0.008819303,0.0015125,0.00269479,0.002623826,0.001243992,0.07721512],"genre_scores_gemma":[0.2785733,0.004846714,0.7020428,0.0009228849,0.0005132486,0.005686378,0.001939726,0.0006012055,0.004873637],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03925313,"threshold_uncertainty_score":0.2075929,"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."}}