{"id":"W4387637045","doi":"10.1787/2264f3eb-en","title":"Executive summary","year":2022,"lang":"en","type":"book-chapter","venue":"Getting skills right","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outsourcing; Globalization; Pandemic; Context (archaeology); Labour economics; Population ageing; Business; Population; Supply and demand; Economics; Coronavirus disease 2019 (COVID-19); Marketing; Market economy; Sociology; Geography","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005464324,0.0005128974,0.0007173683,0.0002114755,0.002883991,0.000008722782,0.0003587206,0.0004477962,0.02271118],"category_scores_gemma":[0.00008873816,0.0004337286,0.0002690545,0.00004464125,0.000123877,0.00008209594,0.0008435807,0.002103587,0.001368114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004060901,"about_ca_system_score_gemma":0.0002209592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009684376,"about_ca_topic_score_gemma":0.0001042293,"domain_scores_codex":[0.9971408,0.0001734642,0.0007615543,0.0006363929,0.0005425846,0.0007452222],"domain_scores_gemma":[0.9976221,0.0009559544,0.0006165472,0.0005354572,0.0001533199,0.0001166045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001486219,0.00002216559,0.001139883,0.0001860573,0.0002485106,0.0001145935,0.002735962,3.686171e-7,0.000002181494,0.2519794,0.7420409,0.001515026],"study_design_scores_gemma":[0.0003483796,0.00005184176,0.0002406396,0.00079957,0.000109231,0.000001773956,0.0001370183,3.139582e-7,0.000002688191,0.03463585,0.9631601,0.0005126257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000507605,0.002143876,0.000004795638,0.003111927,0.00278803,0.0009453546,0.0002687759,0.0003601942,0.9903263],"genre_scores_gemma":[0.0001368811,0.0009781861,0.00009847197,0.002450426,0.001569612,0.0001733559,0.0004187306,0.0001573257,0.994017],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2211191,"threshold_uncertainty_score":0.9998115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02262728783659741,"score_gpt":0.3368355690225486,"score_spread":0.3142082811859512,"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."}}