{"id":"W1864636733","doi":"10.3968/6074","title":"The Integration and Cohesion of EGP and ESP","year":2014,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohesion (chemistry); English for specific purposes; Mathematics education; Context (archaeology); Computer science; Linguistics; Psychology; Chemistry; Geography","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":[0.0003521215,0.00002284611,0.00003570121,0.00002488307,0.0004689754,0.00006336689,0.0000485471,0.000008526818,0.00009489112],"category_scores_gemma":[0.00004752292,0.00001482761,0.000006451765,0.00002724135,0.0005836638,0.00009651583,0.00001072612,0.00003402794,6.577848e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000566529,"about_ca_system_score_gemma":0.00002815285,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002940772,"about_ca_topic_score_gemma":0.00001748353,"domain_scores_codex":[0.999731,0.00002609885,0.00006304096,0.00005536812,0.00008157009,0.00004293439],"domain_scores_gemma":[0.9997612,0.00006175756,0.00006725977,0.00003313578,0.00006399256,0.00001269501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000109954,0.000007959055,0.0003262715,0.000004146563,5.513687e-7,1.411304e-9,0.03938967,2.515683e-8,0.001132064,0.8839584,0.0001389735,0.07504085],"study_design_scores_gemma":[0.0001818751,0.0001198502,0.4648535,0.00006147242,0.00001776078,5.806429e-7,0.06344159,0.00007795753,0.002093136,0.01052321,0.4584897,0.0001393472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8801645,0.0001546327,0.000006454581,0.0004090951,0.0002897721,0.00002466622,2.965413e-7,0.000005355992,0.1189452],"genre_scores_gemma":[0.9936331,0.000003694816,0.00002923854,0.00007731819,0.0001572813,0.000001365744,5.010977e-7,0.000001285077,0.006096225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8734352,"threshold_uncertainty_score":0.3607027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190087765923589,"score_gpt":0.2825347193800857,"score_spread":0.2635259427877268,"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."}}