{"id":"W1616588142","doi":"","title":"Analysis of ESP Instructing and Innovation of College English Teaching","year":2015,"lang":"en","type":"article","venue":"Cross-cultural communication","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Promotion (chess); Variety (cybernetics); Function (biology); Set (abstract data type); Mathematics education; Process (computing); Higher education; Pedagogy; Engineering ethics; Engineering; Sociology; Political science; Psychology; Computer science","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":[0.0007363475,0.00005913268,0.00015266,0.0003377278,0.0001527584,0.00004669393,0.0005960159,0.00007876665,0.00000159758],"category_scores_gemma":[0.000986119,0.0000535453,0.00002628107,0.001626713,0.0002609362,0.0008361185,0.0002602854,0.0001680144,3.445464e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002961126,"about_ca_system_score_gemma":0.00005400723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007244821,"about_ca_topic_score_gemma":0.00001847755,"domain_scores_codex":[0.9992756,0.00009446432,0.0003262322,0.0001193372,0.0001164417,0.00006790798],"domain_scores_gemma":[0.9977835,0.000141109,0.0003254287,0.0005390492,0.001192146,0.00001878658],"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":[0.000005680018,0.00003470774,0.1298229,0.000009962658,0.00008639717,4.198525e-8,0.008309668,0.0001092848,0.002124541,0.8445906,0.00004965343,0.01485658],"study_design_scores_gemma":[0.001314792,0.0001937739,0.8771549,0.00009352784,0.0002379118,0.00001600934,0.01460582,0.02911965,0.02228929,0.04569812,0.008791037,0.0004852017],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957742,0.0001870994,0.001136279,0.0004062734,0.00006457883,0.00005408148,0.000006170555,0.00005246521,0.002318865],"genre_scores_gemma":[0.9768649,0.00001399155,0.02297312,0.00002785689,0.000009824634,0.000004773563,0.00004845035,0.000001836222,0.00005520871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7988925,"threshold_uncertainty_score":0.2183514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0630991133657092,"score_gpt":0.3872143443544801,"score_spread":0.3241152309887709,"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."}}