{"id":"W7139750126","doi":"","title":"CRS issue brief","year":2004,"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":[0.00138711,0.0009158629,0.0007234894,0.003694034,0.003692571,0.009847991,0.002499401,0.005731667,0.3124529],"category_scores_gemma":[0.007629758,0.000647014,0.0006056758,0.00539337,0.0006733724,0.002068841,0.001086456,0.003342251,0.1957652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009369091,"about_ca_system_score_gemma":0.03039916,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.32331,"about_ca_topic_score_gemma":0.4178118,"domain_scores_codex":[0.9967527,0.00007773606,0.0001124829,0.0002347755,0.002421695,0.0004004974],"domain_scores_gemma":[0.9935487,0.0003754486,0.0002045036,0.0003553893,0.005084378,0.0004315284],"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":[0.000006640463,0.000009175495,0.00009334759,0.00005166168,0.000001209938,0.00003294808,0.00001471706,0.00003112413,0.00005019414,0.002708368,0.9879916,0.009008982],"study_design_scores_gemma":[0.000001698847,0.000002498099,0.0003795707,0.0000299027,0.000001274163,0.000007028637,0.00002486807,0.000009180141,0.00004196973,0.0001231369,0.9993765,0.000002416018],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005928761,0.002505907,0.0002530683,0.01684722,0.01028604,0.0002646388,0.01519322,0.0008146545,0.9532424],"genre_scores_gemma":[0.00201758,0.001761721,0.000147581,0.00322293,0.001150881,0.0000534214,0.003916665,0.0001537647,0.9875754],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6875471,"threshold_uncertainty_score":0.9807025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157079274934143,"score_gpt":0.1926174665373072,"score_spread":0.1769095390438929,"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."}}