{"id":"W3205746873","doi":"10.23977/aetp.2021.57020","title":"Optimization and Reform of Talent Training Scheme for Engineering Majors Under the Background of Engineering Certification","year":2021,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Human Resource and Talent Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Certification; Professional certification (computer technology); Engineering education; Health systems engineering; Context (archaeology); Engineering; Engineering management; Quality (philosophy); Training (meteorology); Professional development; Training system; Engineering ethics; Management; Medical education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002710905,0.0002916652,0.0004116995,0.001150166,0.0007060466,0.001152942,0.0009990394,0.0007721559,0.00699976],"category_scores_gemma":[0.008289132,0.0001412301,0.0002744445,0.0006911969,0.0003103358,0.0009608174,0.001102969,0.0006903835,0.0006360539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002760169,"about_ca_system_score_gemma":0.005098389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003917463,"about_ca_topic_score_gemma":0.003126059,"domain_scores_codex":[0.9979033,0.0008183753,0.00006165635,0.0002320685,0.0002928109,0.0006918252],"domain_scores_gemma":[0.9973789,0.0005406468,0.0004086243,0.0001214186,0.0005601015,0.0009902151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001583082,0.004928459,0.07123202,0.0005745493,0.00009922557,0.0002749251,0.001633941,0.2241735,0.01217618,0.05469971,0.01250108,0.6161233],"study_design_scores_gemma":[0.0006809083,0.004150212,0.1591721,0.000259044,0.0001536712,0.0002000689,0.003768297,0.7878953,0.007039662,0.0202149,0.01638727,0.0000785537],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9253838,0.0002959878,0.0501396,0.001604534,0.00009446688,0.0008413753,0.000157914,0.0001652126,0.0213171],"genre_scores_gemma":[0.9877048,0.00009672206,0.007790329,0.00006531018,0.00001972939,0.0002182471,0.00008661804,0.00001070516,0.004007531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00699976,"threshold_uncertainty_score":0.02341652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02644815460629463,"score_gpt":0.2929741186670721,"score_spread":0.2665259640607775,"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."}}