{"id":"W2020468916","doi":"10.5539/ass.v7n10p183","title":"A Sociolinguistic Approach to Oral and Written Communication for Engineering Students","year":2011,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Office of the Higher Education Commission; Thailand Research Fund","keywords":"Context (archaeology); Professional communication; Subject (documents); Psychology; Value (mathematics); Pedagogy; Linguistics; Mathematics education; Computer science; History","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":[0.001378829,0.0004267974,0.0001819199,0.001383108,0.002199531,0.003615518,0.000533674,0.0006350596,0.003051713],"category_scores_gemma":[0.00286853,0.0001412888,0.000157912,0.0005209312,0.003358597,0.002097167,0.001594951,0.001167828,0.0003727888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521859,"about_ca_system_score_gemma":0.002358618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128261,"about_ca_topic_score_gemma":0.00296702,"domain_scores_codex":[0.9990153,0.0006993181,0.00003989768,0.00005159988,0.0001447382,0.00004911314],"domain_scores_gemma":[0.9983443,0.001057929,0.0001429879,0.00006974539,0.0001962848,0.0001888604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001241684,0.000634563,0.01235284,0.0008622948,0.00001562464,0.002782122,0.6160437,0.0006381271,0.01835023,0.1313849,0.004379447,0.2124319],"study_design_scores_gemma":[0.00002090923,0.0004967992,0.03610469,0.0006344703,0.00003595043,0.002658027,0.7810116,0.002367633,0.006023815,0.04025943,0.1303386,0.00004805106],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7450315,0.005039149,0.04168827,0.0118394,0.0004411494,0.0002362237,0.0000793933,0.0001906578,0.1954543],"genre_scores_gemma":[0.9798431,0.001955073,0.0085535,0.0002797386,0.00007215248,0.0001266461,0.00003409718,0.00002163076,0.009114003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003615518,"threshold_uncertainty_score":0.01104188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05604407134453002,"score_gpt":0.3166944944229222,"score_spread":0.2606504230783921,"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."}}