{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001539893,0.000619407,0.0005608671,0.001939043,0.001310888,0.005160375,0.00157281,0.003492726,0.4816663],"category_scores_gemma":[0.007834466,0.0003341104,0.0004561754,0.002382183,0.0003593623,0.002638873,0.001088184,0.002758593,0.4305472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002333526,"about_ca_system_score_gemma":0.00725002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034883,"about_ca_topic_score_gemma":0.01234359,"domain_scores_codex":[0.9986038,0.0001418899,0.00008799922,0.000166367,0.0007984963,0.0002014902],"domain_scores_gemma":[0.9944748,0.0005507247,0.0002090719,0.0002520054,0.003761531,0.0007518621],"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":[0.000004541604,0.000003398676,0.00002133854,0.00005852569,4.12567e-7,0.00000877782,0.000005160209,0.000009410251,0.00001752418,0.0009339887,0.9867435,0.01219355],"study_design_scores_gemma":[0.000001851606,0.000002607294,0.0001460728,0.0001084277,6.03837e-7,0.000009325322,0.00001550437,0.000006629908,0.00001178424,0.0001779997,0.9995177,0.0000015003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000357373,0.008365166,0.0006140472,0.05309881,0.0479967,0.0004382576,0.01114369,0.0006503054,0.8773357],"genre_scores_gemma":[0.001262396,0.005695894,0.0002846665,0.01276055,0.00489483,0.0001880094,0.003991038,0.0001767446,0.9707459],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5183337,"threshold_uncertainty_score":0.7393402,"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."}}