{"id":"W7008198510","doi":"","title":"ARCHIVEIT-2402-WEEKLY-IVXNCS-20110818161259-00000-crawling206.us.archive.org-6683.warc.gz","year":2011,"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":"Politics; Field (mathematics); Natural (archaeology); Work (physics)","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":[0.0007917925,0.001914339,0.0011713,0.00621261,0.001734577,0.005373001,0.002111955,0.001454444,0.8737401],"category_scores_gemma":[0.006434352,0.001491003,0.0008965278,0.01075993,0.0005059945,0.002890282,0.00303098,0.001420805,0.9337749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002328631,"about_ca_system_score_gemma":0.002034727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0555872,"about_ca_topic_score_gemma":0.05839457,"domain_scores_codex":[0.9993728,0.00005475911,0.0000383682,0.0001094961,0.000297571,0.0001270188],"domain_scores_gemma":[0.9961678,0.0004967257,0.0001438698,0.0009637543,0.00166292,0.0005648124],"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":[0.00001367386,0.000007948879,0.00008295879,0.00005811635,0.000001869678,0.000004376971,0.00001911899,0.00002405641,0.00003968868,0.000288625,0.9902855,0.00917407],"study_design_scores_gemma":[0.00001644008,0.000003723199,0.0006457277,0.0000537695,0.000002285593,0.00001114773,0.00002551993,0.00006132763,0.0002367364,0.0002894746,0.9986437,0.00001015814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003538115,0.0001658653,0.001189616,0.0003686848,0.0001859897,0.0001092312,0.6312937,0.03731741,0.3290157],"genre_scores_gemma":[0.001892077,0.0004076209,0.001878805,0.0002866616,0.00008033941,0.0001963508,0.4396953,0.03345581,0.5221069],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1262599,"threshold_uncertainty_score":0.1800944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009378635402360324,"score_gpt":0.191782613626691,"score_spread":0.1824039782243307,"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."}}