{"id":"W7024183351","doi":"","title":"RageCast 376: A PART OF OUR HERITAGE","year":2023,"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":"Rumble; Gloom; Government (linguistics); First world war; World War II; Object (grammar)","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":[0.0006375381,0.0004846122,0.0002953108,0.0009878818,0.008294536,0.007588283,0.0008566497,0.00123921,0.5509624],"category_scores_gemma":[0.001688229,0.000289836,0.0002983177,0.001269585,0.001327374,0.004785623,0.006792766,0.003004137,0.2366779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001830255,"about_ca_system_score_gemma":0.002328031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01359763,"about_ca_topic_score_gemma":0.05370145,"domain_scores_codex":[0.9994099,0.00008401215,0.0000139659,0.00006977843,0.0002801848,0.0001421437],"domain_scores_gemma":[0.9983479,0.0000664987,0.00003396892,0.0001667831,0.0002237644,0.00116115],"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":[0.0000146427,0.00002160173,0.0002242439,0.00003264381,0.000001177504,0.0001834159,0.001147003,0.00001562178,0.0002012039,0.00557975,0.9535196,0.03905909],"study_design_scores_gemma":[5.25615e-7,0.00000219306,0.0001047944,0.0000142982,2.933151e-7,0.00006803806,0.0003601009,0.000004377863,0.00002823068,0.0001783903,0.9992369,0.00000183345],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002754918,0.00127644,0.0007194959,0.009589994,0.003141535,0.00005272387,0.001826702,0.001506318,0.9791319],"genre_scores_gemma":[0.008928334,0.0005594241,0.0006476509,0.001050423,0.0003628527,0.00001826135,0.0007711425,0.0008172662,0.9868447],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4490376,"threshold_uncertainty_score":0.6404976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01032974566413231,"score_gpt":0.2031261501337015,"score_spread":0.1927964044695692,"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."}}