{"id":"W1970133380","doi":"10.1590/s0102-44502012000300002","title":"Systemic Functional Linguistics as appliable linguistics: social accountability and critical approaches","year":2012,"lang":"en","type":"article","venue":"DELTA Documentação de Estudos em Lingüística Teórica e Aplicada","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of British Columbia; Tongji University; Deakin University","keywords":"Systemic functional linguistics; Applied linguistics; Quantitative linguistics; Linguistics; Clinical linguistics; Media linguistics; Critical discourse analysis; Perspective (graphical); Text linguistics; Sociology; Discourse analysis; Contrastive linguistics; Theoretical linguistics; Computer science; Philosophy; Political science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001006897,0.0005554217,0.0007458343,0.0001657689,0.00155623,0.000681007,0.0003652603,0.0001728866,0.001611682],"category_scores_gemma":[0.004495124,0.0005131505,0.0002130462,0.0001539794,0.001078006,0.0001740041,0.000444283,0.0005584169,0.0002319571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002877364,"about_ca_system_score_gemma":0.0001126081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005718145,"about_ca_topic_score_gemma":0.0001208194,"domain_scores_codex":[0.9964433,0.0001523495,0.0007793613,0.0007186411,0.0007580969,0.001148245],"domain_scores_gemma":[0.9972855,0.001033721,0.0002111414,0.0004859449,0.0005972155,0.0003864906],"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":[0.00009689158,0.0009429415,0.01197823,0.0003899946,0.0006324149,0.00001571598,0.03341575,0.00002000445,0.00002135732,0.9411219,0.008990712,0.00237412],"study_design_scores_gemma":[0.002896188,0.0005354605,0.00427186,0.000448118,0.007037499,0.0001788161,0.3273051,0.005331828,0.0003608774,0.04211901,0.6050549,0.004460298],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3948886,0.01585329,0.01250063,0.001342856,0.01200969,0.003536258,0.001017785,0.002048055,0.5568028],"genre_scores_gemma":[0.985976,0.0000496539,0.001396349,0.000594378,0.01075503,0.0002637623,0.00008327836,0.00008119593,0.0008003524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8990029,"threshold_uncertainty_score":0.9997436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05979756053638576,"score_gpt":0.3102052030946381,"score_spread":0.2504076425582524,"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."}}