{"id":"W2397895539","doi":"","title":"Occupational English Training to Chinese Civil Engineers for Over-Sea Project Under “the Belt, the Road Initiative”","year":2016,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Curriculum; Root cause; Engineering; Engineering management; Civil engineering; Engineering ethics; Construction engineering; Political science; Operations management; Law; 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":[0.001969319,0.0001321493,0.0001256009,0.0001741335,0.0007780335,0.0001634054,0.001360651,0.00004182694,0.00006011871],"category_scores_gemma":[0.0004279683,0.00007015168,0.00007873579,0.001667135,0.0003741196,0.0006453468,0.0001056513,0.00009446089,0.000005516138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001834613,"about_ca_system_score_gemma":0.002435365,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006437433,"about_ca_topic_score_gemma":0.000005106966,"domain_scores_codex":[0.9983361,0.0001765658,0.0002501937,0.0003624448,0.000567943,0.0003068018],"domain_scores_gemma":[0.9982085,0.0006370575,0.000174724,0.0003400167,0.0005476723,0.00009209368],"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":[0.000007631708,0.000129752,0.001784433,0.000006401437,0.00001158356,1.534353e-8,0.07022955,0.00000982984,0.001165065,0.8874806,0.01178087,0.02739426],"study_design_scores_gemma":[0.0001986998,0.00003914934,0.8925142,0.00001944999,0.000005588772,5.680781e-7,0.001358421,0.00006494865,0.0001962463,0.005768804,0.09966817,0.0001657257],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2747568,0.0001215603,0.5789198,0.07336965,0.01800298,0.00236141,0.00005530036,0.0003563797,0.05205615],"genre_scores_gemma":[0.9782631,0.000001290953,0.01579691,0.002536549,0.0008843794,0.0002331672,0.000002448772,0.000008585022,0.002273608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8907298,"threshold_uncertainty_score":0.5984083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0634176734856519,"score_gpt":0.3951021700141834,"score_spread":0.3316844965285315,"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."}}