{"id":"W2945385916","doi":"10.3968/11045","title":"Application of the Mixed Teaching Innovation in the English for Science and Technology Teaching","year":2019,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Quality (philosophy); Teaching and learning center; Teaching method; College English; Course (navigation); Computer science; Psychology; Engineering; Physics","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":[0.008193478,0.00007749011,0.0001128007,0.0005520283,0.0006650716,0.0001087692,0.001929844,0.0000512914,0.000001681328],"category_scores_gemma":[0.00105156,0.00005431755,0.00001887552,0.004478932,0.0008329678,0.0006692181,0.0001797861,0.0002517358,7.091862e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001323586,"about_ca_system_score_gemma":0.001093979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005983543,"about_ca_topic_score_gemma":7.590118e-7,"domain_scores_codex":[0.9983703,0.0001606446,0.0003272846,0.0003519536,0.0005887042,0.0002010404],"domain_scores_gemma":[0.9981369,0.0002009706,0.0003703153,0.0004664817,0.0008053517,0.00001994528],"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":[6.500718e-7,0.00008898375,0.008467818,0.00001279301,5.896547e-7,1.404672e-9,0.0124965,0.00000126358,0.02771366,0.9217349,0.00009015832,0.02939272],"study_design_scores_gemma":[0.0002798799,0.0000547727,0.8723653,0.0000426107,0.000006220072,0.000001582537,0.004542074,0.0008950104,0.01028174,0.0435342,0.06781282,0.0001837981],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9416243,0.00003682458,0.02087341,0.008876335,0.002530599,0.000959878,0.000001141215,0.00004785538,0.02504964],"genre_scores_gemma":[0.9768955,3.285284e-7,0.02238207,0.0003161799,0.0000798385,0.00006827306,5.256396e-7,0.000003348957,0.0002539193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8782007,"threshold_uncertainty_score":0.511526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686660146072809,"score_gpt":0.3477940761011559,"score_spread":0.3309274746404278,"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."}}