{"id":"W3131078387","doi":"10.31857/s268667300012645-9","title":"USA Federal Social Expenditures in the period of 2017–2020","year":2020,"lang":"en","type":"article","venue":"USA & Canada Economics – Politics – Culture","topic":"Socioeconomic and Demographic Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Christian Studies","funders":"","keywords":"Period (music); Government (linguistics); Economic growth; Political science; Business; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005320221,0.0003436638,0.000182938,0.002082182,0.001011092,0.001544497,0.0003181672,0.000712735,0.01001521],"category_scores_gemma":[0.001925114,0.0001423129,0.0003185023,0.00326388,0.0002280557,0.0006259567,0.0008021359,0.0009874626,0.002409139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007779175,"about_ca_system_score_gemma":0.007770799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3621883,"about_ca_topic_score_gemma":0.520591,"domain_scores_codex":[0.9992281,0.00008235384,0.00003311643,0.00004741023,0.0003491449,0.0002598594],"domain_scores_gemma":[0.9990682,0.00009345237,0.0001965651,0.00002718641,0.000489909,0.0001248241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000179596,0.00006642835,0.0394901,0.0002133026,0.00007287918,0.0001128255,0.0003288486,0.0005008559,0.0001706108,0.02368211,0.8802528,0.05492966],"study_design_scores_gemma":[0.00001727682,0.00002757444,0.1435832,0.0001397517,0.00004638476,0.00007579505,0.0006405124,0.0005027641,0.0005036696,0.0009718097,0.8534777,0.00001370462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1850798,0.01140381,0.0009609902,0.05454646,0.0034742,0.0001795477,0.4228725,0.0008697378,0.320613],"genre_scores_gemma":[0.5635496,0.01523797,0.001510169,0.006775428,0.001261929,0.0005399027,0.2235157,0.0001609684,0.1874484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3621883,"threshold_uncertainty_score":0.7201604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01155821342439127,"score_gpt":0.2108120365210724,"score_spread":0.1992538230966812,"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."}}