{"id":"W2136151510","doi":"","title":"Model of English Teaching for Future Employees in China's Petroleum Production Industry","year":2014,"lang":"en","type":"article","venue":"Studies in literature and language","topic":"Educational Technology and Assessment","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); China; Production (economics); Teaching method; Field (mathematics); Mathematics education; Petroleum industry; Realization (probability); College English; Pedagogy; Computer science; Psychology; Engineering; Political science; Economics","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":[0.0003442632,0.00007428069,0.0001306866,0.0001178718,0.00004957222,0.00001638075,0.0001402974,0.000113428,1.511837e-7],"category_scores_gemma":[0.0002719892,0.00005856172,0.00001574285,0.00012599,0.00003883749,0.0001915044,0.00005880781,0.0003975351,2.496015e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001522524,"about_ca_system_score_gemma":0.0000120752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001756851,"about_ca_topic_score_gemma":0.00001490188,"domain_scores_codex":[0.9994897,0.00003585708,0.0001184781,0.0001971783,0.00005551901,0.0001033],"domain_scores_gemma":[0.9996967,0.00004207238,0.00004188364,0.0001591334,0.00005030209,0.000009928953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002209642,0.0003383385,0.03121255,0.000483083,0.00005421808,0.000003434319,0.4951017,0.0006580971,0.0008832746,0.4403828,0.003517306,0.02734306],"study_design_scores_gemma":[0.006843269,0.002135924,0.2089941,0.006823413,0.00009217617,0.00004425946,0.2128428,0.05872457,0.01444965,0.4603992,0.02582636,0.002824293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910259,0.004513308,0.001441782,0.00160422,0.0006690889,0.000109925,0.000003155367,0.00003281716,0.0005998533],"genre_scores_gemma":[0.9835176,0.0000562545,0.01570057,0.00006835207,0.0003818637,0.00003942105,0.000003553378,0.000002846612,0.0002294736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2822589,"threshold_uncertainty_score":0.2388078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01258330779094012,"score_gpt":0.3133179898828799,"score_spread":0.3007346820919398,"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."}}