{"id":"W7157509348","doi":"","title":"CRS issue brief","year":2000,"lang":"en","type":"report","venue":"University of North Texas Digital Library (University of North Texas)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Unemployment; Job loss; Production (economics); Displaced workers; Training (meteorology); Structural unemployment","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":[],"category_scores_codex":[0.001054888,0.001093953,0.0006796855,0.003110804,0.001945753,0.007527911,0.002003043,0.003981495,0.6144339],"category_scores_gemma":[0.005903738,0.0007355763,0.0005443951,0.004106168,0.0004221731,0.002890124,0.001330191,0.002406984,0.5821521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002567161,"about_ca_system_score_gemma":0.008430646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02515153,"about_ca_topic_score_gemma":0.03462965,"domain_scores_codex":[0.9981725,0.00008751448,0.00008844674,0.0001937219,0.001263775,0.0001940396],"domain_scores_gemma":[0.9953153,0.0004236928,0.0001841619,0.0004556479,0.003121317,0.0004998388],"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":[0.000009805181,0.00002315471,0.0001149386,0.00004866229,8.558149e-7,0.00002327464,0.00001082753,0.00002546299,0.00006105965,0.001615947,0.9814693,0.0165967],"study_design_scores_gemma":[0.000003184322,0.000005140198,0.0003997552,0.00003224613,9.516403e-7,0.00001195404,0.00001933813,0.00001116491,0.00005294056,0.0001748301,0.9992862,0.000002350786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003938875,0.001086603,0.0002421613,0.006742066,0.004473895,0.0002600625,0.01746866,0.001144727,0.9681879],"genre_scores_gemma":[0.0009709122,0.000776197,0.0001414476,0.001286845,0.0005123746,0.0000641389,0.006233785,0.0001803754,0.989834],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6144339,"threshold_uncertainty_score":0.5499632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01515324718273531,"score_gpt":0.1909034338827966,"score_spread":0.1757501867000613,"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."}}