{"id":"W7134762793","doi":"","title":"CRS issue brief","year":2003,"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":"Subsidy; Current (fluid); Government (linguistics); Headline","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":[0.001345257,0.0008777246,0.0007111629,0.003284525,0.003565469,0.009865364,0.002404448,0.005750282,0.3012953],"category_scores_gemma":[0.007081724,0.0006107387,0.0005963757,0.005334112,0.0006561983,0.001976388,0.001047658,0.00337659,0.1988975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008810697,"about_ca_system_score_gemma":0.02888497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3149289,"about_ca_topic_score_gemma":0.4186136,"domain_scores_codex":[0.9970534,0.00006941495,0.0001013129,0.000219736,0.002195895,0.0003602438],"domain_scores_gemma":[0.9939487,0.0003513577,0.0001965233,0.0003482205,0.00474689,0.0004083261],"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":[0.000007085988,0.000009452684,0.00009361371,0.00005220808,0.000001150955,0.00003526702,0.00001580078,0.00002956716,0.00005497722,0.002636319,0.9878938,0.009170825],"study_design_scores_gemma":[0.000001825631,0.000002583345,0.0004040787,0.00003211172,0.000001258659,0.000008002643,0.00002657863,0.000009845813,0.00004556328,0.0001338725,0.9993319,0.000002453598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005980184,0.002518664,0.0002572073,0.01619143,0.009319263,0.0002708554,0.01489376,0.0008091602,0.9551417],"genre_scores_gemma":[0.002260553,0.001949435,0.0001538315,0.003605671,0.001147915,0.00005761305,0.00400528,0.0001752702,0.9866444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6987047,"threshold_uncertainty_score":0.9966174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01644746336277178,"score_gpt":0.1925701441828102,"score_spread":0.1761226808200384,"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."}}