{"id":"W1496144377","doi":"","title":"Evaluating the Eleventh District's Beige Book","year":2000,"lang":"en","type":"preprint","venue":"","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eleventh; Quarter (Canadian coin); State (computer science); Economic indicator; Product (mathematics); Economics; Geography; Computer science; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003299942,0.0002533222,0.0003718026,0.003150346,0.001071041,0.006452604,0.0006977784,0.000605881,0.01830176],"category_scores_gemma":[0.03026061,0.0002650233,0.0002060302,0.004155466,0.0007174392,0.003731272,0.001309425,0.0008727638,0.004103958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00499773,"about_ca_system_score_gemma":0.002913677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04127049,"about_ca_topic_score_gemma":0.05488202,"domain_scores_codex":[0.9970443,0.0004150101,0.0001230795,0.0002015737,0.002000913,0.0002150303],"domain_scores_gemma":[0.9681054,0.01281952,0.00257423,0.001557705,0.01350164,0.001441512],"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":[0.000594519,0.0003825418,0.3064874,0.0003247903,0.00008423717,0.0005062243,0.002119271,0.0138497,0.0007321459,0.08741737,0.3693802,0.2181216],"study_design_scores_gemma":[0.00005429895,0.0005251803,0.3453285,0.0003321607,0.00009556876,0.0003296302,0.00763759,0.01380707,0.005152053,0.01036591,0.6161669,0.0002050858],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5710292,0.003700043,0.005905275,0.006802841,0.000761143,0.0002673964,0.01904749,0.0009407009,0.391546],"genre_scores_gemma":[0.8664463,0.001689694,0.005855627,0.0006793667,0.0001726419,0.0001303229,0.01876623,0.0002569091,0.106003],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04127049,"threshold_uncertainty_score":0.08206058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1006814376714657,"score_gpt":0.2888219346215637,"score_spread":0.1881404969500981,"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."}}