{"id":"W4413579864","doi":"10.64628/aam.hna7y9s5w","title":"The throne speech: Inflation crowds out the agenda — and could for years to come","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Political and Economic history of UK and US","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Crowds; Throne; Inflation (cosmology); Keynesian economics; Economics; Political science; Computer science; Politics; Law; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.004230778,0.0003517773,0.0004032464,0.001395558,0.004493926,0.01102915,0.0005015549,0.00611607,0.01353139],"category_scores_gemma":[0.01663437,0.000287415,0.0002810725,0.001715344,0.008319932,0.009488352,0.002636884,0.007512263,0.002417351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005624446,"about_ca_system_score_gemma":0.002753756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01563078,"about_ca_topic_score_gemma":0.01284481,"domain_scores_codex":[0.9973729,0.00095174,0.00009452755,0.0003365428,0.0006590172,0.0005853298],"domain_scores_gemma":[0.9943463,0.002911995,0.0006050644,0.0004195768,0.0009033465,0.0008135641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000227324,0.00002663178,0.002370271,0.0001194755,0.00003645903,0.0002254592,0.01072778,0.0001698301,0.0004217084,0.8181276,0.142037,0.02551042],"study_design_scores_gemma":[0.00003809092,0.00003049584,0.01248556,0.0004602617,0.00002276094,0.000153154,0.009490613,0.0003751098,0.0005773993,0.2986853,0.6775964,0.00008485371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.06811041,0.01969597,0.002867904,0.6852599,0.009957424,0.00001524019,0.000746962,0.0001173758,0.2132288],"genre_scores_gemma":[0.873244,0.004535627,0.0006594986,0.04737863,0.005566104,0.00002664348,0.0001964186,0.0003152211,0.06807794],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01563078,"threshold_uncertainty_score":0.04526699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08854120357997769,"score_gpt":0.3536135132586597,"score_spread":0.265072309678682,"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."}}