{"id":"W2501134541","doi":"10.1057/9780230120006_17","title":"Revenue Generation through Training a Global Energy Workforce","year":2011,"lang":"en","type":"book-chapter","venue":"Palgrave Macmillan US eBooks","topic":"Higher Education Learning Practices","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Graduation (instrument); Certificate; Apprenticeship; Workforce; Medical education; Training (meteorology); Revenue; Management; Political science; Engineering; Geography; Business; Medicine; Finance; Computer science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004676725,0.000416713,0.0004235523,0.00006382251,0.0007292563,0.0001892381,0.000502218,0.0006326778,0.001288612],"category_scores_gemma":[0.0001594875,0.0004660389,0.0002109737,0.00004648076,0.0004261573,0.00001715083,0.00006952971,0.0003995452,0.0002754241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003393627,"about_ca_system_score_gemma":0.000794242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004975391,"about_ca_topic_score_gemma":0.007540111,"domain_scores_codex":[0.9974294,0.0002926111,0.0004570551,0.0006344482,0.0006442941,0.0005421984],"domain_scores_gemma":[0.9982494,0.0001406996,0.0006910987,0.0004917253,0.0002037663,0.000223347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001083644,0.000001176403,0.00008065224,0.00000772352,0.00006973543,0.00001621696,0.02851216,0.000002199444,0.000007245591,0.9153041,0.0008774181,0.05511051],"study_design_scores_gemma":[0.00009318889,0.00002849614,0.00005775251,0.00008113354,0.00007807623,0.000007275648,0.0002223461,0.000001819735,0.000007957788,0.3186686,0.6803803,0.0003730534],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001852683,0.001088197,0.0004987476,0.0002786855,0.001482327,0.0002458681,0.00005973714,0.000173101,0.9959881],"genre_scores_gemma":[0.5947664,0.0005399843,0.001223712,0.0008185761,0.00317689,0.00004143379,0.00008406543,0.00007910213,0.3992698],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6795028,"threshold_uncertainty_score":0.9997791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1081714203336507,"score_gpt":0.3377731904268335,"score_spread":0.2296017700931828,"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."}}