{"id":"W7067921409","doi":"","title":"Nov. 5: Prof Eric Kam view of fed mini budget.","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prime minister; Metropolitan area; Government (linguistics); Prime (order theory)","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":[],"category_scores_codex":[0.0003799204,0.0005461245,0.0003150883,0.0006717344,0.001030946,0.001983287,0.0004004984,0.001120453,0.7020969],"category_scores_gemma":[0.001837655,0.000325804,0.0001870296,0.0009172274,0.0001604782,0.001250867,0.0008024139,0.00129256,0.5724561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008969428,"about_ca_system_score_gemma":0.0006908394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01298806,"about_ca_topic_score_gemma":0.06022024,"domain_scores_codex":[0.9998523,0.00001346659,0.000005790716,0.00001945398,0.00005884395,0.00005002768],"domain_scores_gemma":[0.9994377,0.00005913718,0.00003458318,0.00002212359,0.0002284753,0.0002179365],"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":[0.00001294026,0.000003363996,0.00003590768,0.000008768861,2.165596e-7,0.000007529904,0.000004697946,0.000005554915,0.00002449406,0.0001628413,0.9949942,0.004739453],"study_design_scores_gemma":[0.000006981912,0.000006882898,0.0006466624,0.00002418774,6.346536e-7,0.00001438002,0.00003392711,0.00002421431,0.00004348462,0.000125318,0.9990706,0.000002663141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008910395,0.001440556,0.0003516581,0.007626841,0.00228099,0.0001066672,0.01157814,0.001794803,0.9739292],"genre_scores_gemma":[0.001912896,0.000325792,0.0001079498,0.001285384,0.000192819,0.00002362588,0.001563808,0.0002404069,0.9943473],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7020969,"threshold_uncertainty_score":0.4249226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007772842392242203,"score_gpt":0.1972560373180249,"score_spread":0.1894831949257827,"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."}}