{"id":"W4236164853","doi":"10.1787/b8ff7fa7-en","title":"Foreword","year":2021,"lang":"en","type":"book-chapter","venue":"OECD reviews on local job creation","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Shock (circulatory); Pandemic; Quarter (Canadian coin); Coronavirus disease 2019 (COVID-19); Economic impact analysis; Economic policy; Business; Economics; Economic growth; Geography; Medicine","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":["insufficient_payload"],"category_scores_codex":[0.0005723833,0.0004496292,0.001057555,0.0001108204,0.0006022133,0.0000078451,0.0001464482,0.0005880165,0.009229083],"category_scores_gemma":[0.00008882229,0.0003398049,0.0003617045,0.00002986524,0.00009286966,0.00005752447,0.0001241277,0.0009445603,0.01104101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355127,"about_ca_system_score_gemma":0.0001236624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004658448,"about_ca_topic_score_gemma":0.0003386743,"domain_scores_codex":[0.9975364,0.0002476199,0.001018738,0.0004953241,0.0003508689,0.0003510238],"domain_scores_gemma":[0.9983111,0.0002834704,0.0005668643,0.0005461248,0.0001800387,0.0001124226],"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":[0.00002528548,0.0000143407,0.0002928726,0.0009133084,0.00007229722,0.000009914476,0.0001594594,4.685666e-7,0.000001258648,0.4591375,0.2696317,0.2697415],"study_design_scores_gemma":[0.0002451293,0.00009792461,0.0003896711,0.005322203,0.0001705607,6.579418e-7,0.00004091375,0.000003622994,0.000001527526,0.005266735,0.9881539,0.000307157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000980121,0.03176058,0.001115001,0.002410901,0.0008994928,0.001741895,0.00006676917,0.00009609121,0.9618995],"genre_scores_gemma":[0.0001510082,0.07648446,0.0000820763,0.003017135,0.001097815,0.0002687178,0.0005345953,0.00007948613,0.9182847],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7185222,"threshold_uncertainty_score":0.9999054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037215895626232,"score_gpt":0.4241146797029686,"score_spread":0.3203930901403453,"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."}}