{"id":"W2578041509","doi":"","title":"Applying labels in Teaching English for Specific Purposes: specialisation and domains of expertise","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canadian Linguistic Association","funders":"","keywords":"Computer science; Natural language processing; Data science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004428088,0.0004227043,0.0004195095,0.001413621,0.002192768,0.004804552,0.0007648891,0.001494716,0.007843114],"category_scores_gemma":[0.02991195,0.0004140808,0.000361005,0.001659111,0.003296791,0.006549614,0.004161038,0.002313406,0.00110577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002507743,"about_ca_system_score_gemma":0.002610106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005792039,"about_ca_topic_score_gemma":0.006691923,"domain_scores_codex":[0.9946021,0.002814334,0.0002543484,0.0008157512,0.0009631765,0.0005503654],"domain_scores_gemma":[0.9683605,0.02087865,0.002606769,0.002118464,0.003431403,0.00260418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001701861,0.001161787,0.2272407,0.0009834964,0.00009195357,0.001270463,0.1449342,0.004858973,0.03648034,0.2136744,0.007747416,0.3598545],"study_design_scores_gemma":[0.0002168236,0.0004957403,0.2103278,0.000787447,0.0001888199,0.001349245,0.1265644,0.0310568,0.03465581,0.5429682,0.05117849,0.0002105021],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572255,0.0006015387,0.06042225,0.002700683,0.0001047723,0.0001098486,0.0002440811,0.0001811245,0.07841026],"genre_scores_gemma":[0.9896722,0.0001203343,0.007395151,0.00007427812,0.00001901647,0.0000389707,0.0001320549,0.00004879857,0.002499128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007843114,"threshold_uncertainty_score":0.02623779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02395309710187387,"score_gpt":0.2290188368127073,"score_spread":0.2050657397108334,"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."}}