{"id":"W6998715759","doi":"","title":"ARCHIVEIT-2402-MONTHLY-SWMHGX-20120314183313-00001-crawling113.us.archive.org-6683.warc.gz","year":2012,"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":[0.0008490745,0.002027567,0.001283333,0.006838098,0.001654581,0.005274259,0.00192587,0.001386187,0.8803997],"category_scores_gemma":[0.007086671,0.001518016,0.0009664434,0.01128044,0.0004721597,0.002843006,0.003029985,0.00133161,0.9327408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866803,"about_ca_system_score_gemma":0.001661026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03716248,"about_ca_topic_score_gemma":0.04222489,"domain_scores_codex":[0.9993026,0.00006065435,0.00004578182,0.0001276245,0.0003349436,0.00012839],"domain_scores_gemma":[0.9956489,0.0006053881,0.0001869443,0.001119838,0.001792801,0.000646132],"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":[0.00001640876,0.000008958776,0.0001130354,0.00006511743,0.000002589858,0.00000477051,0.00002009394,0.00002220173,0.00004798354,0.0002596282,0.9876658,0.01177337],"study_design_scores_gemma":[0.00002347441,0.000004710153,0.001080533,0.00005922298,0.0000031646,0.00001397435,0.0000246849,0.0000785092,0.0003145164,0.0003381458,0.9980457,0.00001342898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004394272,0.0001682724,0.001477256,0.0003920756,0.0001752565,0.0001228478,0.6364077,0.05014744,0.3106698],"genre_scores_gemma":[0.002448419,0.0003883649,0.002711748,0.0003615926,0.0001241597,0.00024685,0.4703504,0.04809267,0.4752758],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1196003,"threshold_uncertainty_score":0.1705952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00748157994450698,"score_gpt":0.1952889710276751,"score_spread":0.1878073910831682,"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."}}