{"id":"W7134458894","doi":"","title":"CRS issue brief","year":2002,"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":"Global Affairs Canada","funders":"","keywords":"Appropriation; Procurement; Government procurement; Request for proposal","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001224595,0.001073816,0.0009070163,0.003728068,0.002605678,0.009503718,0.0022219,0.003924242,0.6905148],"category_scores_gemma":[0.006658345,0.0007489688,0.0006006786,0.005241133,0.0004211453,0.00331545,0.001653385,0.002545298,0.691739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002322826,"about_ca_system_score_gemma":0.0072908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01065672,"about_ca_topic_score_gemma":0.02071303,"domain_scores_codex":[0.9974975,0.0001179955,0.0001121876,0.0002380163,0.00182279,0.0002115282],"domain_scores_gemma":[0.9941915,0.0005222222,0.0002432439,0.0005292418,0.003733989,0.0007798661],"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":[0.000007885291,0.00002513458,0.00008490124,0.00006053285,8.753642e-7,0.00003103248,0.00001195133,0.00001953677,0.00006684515,0.0009507732,0.9769793,0.02176116],"study_design_scores_gemma":[0.000002054066,0.000004860373,0.0002079019,0.00002692951,7.70247e-7,0.0000143328,0.00001863164,0.000007857844,0.00004008543,0.00009918561,0.9995754,0.000001982049],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003106761,0.001146391,0.0003597186,0.005861331,0.008871917,0.0003154045,0.009612014,0.00147469,0.9720479],"genre_scores_gemma":[0.0006939035,0.0007535894,0.0001453337,0.001143984,0.001039458,0.00006155091,0.003469402,0.0002197567,0.992473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3094852,"threshold_uncertainty_score":0.441443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0186508928242564,"score_gpt":0.1903843430761947,"score_spread":0.1717334502519383,"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."}}