{"id":"W7019104902","doi":"","title":"ERIC ED542072: Federal Grants to State and Local Governments","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Federal state; State (computer science); Quarter (Canadian coin); Block grant; Government (linguistics); Local government; Fiscal year; Federal funds","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":[0.0009274199,0.0005868132,0.0003526655,0.001523564,0.001575764,0.003096535,0.0008621431,0.002027316,0.5127851],"category_scores_gemma":[0.003363235,0.0004128434,0.000277169,0.00203971,0.0003268347,0.001446347,0.001562541,0.001094643,0.3840099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570535,"about_ca_system_score_gemma":0.002882324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03253884,"about_ca_topic_score_gemma":0.04289021,"domain_scores_codex":[0.9993163,0.00009027828,0.00003816445,0.00008211484,0.000308915,0.000164215],"domain_scores_gemma":[0.999068,0.0002059573,0.00006731711,0.0001043236,0.0003856846,0.0001688728],"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":[0.0000120887,0.000007082544,0.0000762531,0.00002735515,6.535417e-7,0.00001867747,0.00001445854,0.00001384231,0.00003212475,0.002140073,0.9848031,0.01285427],"study_design_scores_gemma":[0.000008522388,0.000004550552,0.0005933797,0.00003031762,9.185545e-7,0.00001621793,0.0000300128,0.00001645047,0.00005563134,0.0002239003,0.9990168,0.000003291635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005521103,0.0006963421,0.000198829,0.001675862,0.0005495499,0.0001136142,0.009339208,0.0009458581,0.9859285],"genre_scores_gemma":[0.003059008,0.0007298974,0.0002277316,0.0009165356,0.000137641,0.00007695341,0.00278486,0.0002753992,0.991792],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5127851,"threshold_uncertainty_score":0.6949528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005680896612046669,"score_gpt":0.1846204513781418,"score_spread":0.1789395547660951,"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."}}