{"id":"W7026842808","doi":"","title":"ARCHIVEIT-1830-WEEKLY-EULQOG-20121204182815-00000-wbgrp-crawl058.us.archive.org-6682.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":"Identification (biology); Work (physics); Process (computing)","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":[0.0008748373,0.002230179,0.001204713,0.007573004,0.002077835,0.006608644,0.002224113,0.001450879,0.7890326],"category_scores_gemma":[0.00666286,0.001748903,0.0009373696,0.01159632,0.0006347289,0.003544389,0.003542648,0.001378622,0.8789737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003233506,"about_ca_system_score_gemma":0.00276862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1200653,"about_ca_topic_score_gemma":0.1264065,"domain_scores_codex":[0.9992619,0.00005264514,0.00003825288,0.0001293634,0.0003562082,0.0001616634],"domain_scores_gemma":[0.99559,0.0004820847,0.0001636061,0.001018057,0.002074512,0.0006717418],"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":[0.00002021466,0.000008234745,0.0001254565,0.00007999887,0.000002905725,0.000006501868,0.0000421663,0.00002438151,0.00007118227,0.0003562368,0.9902607,0.009001994],"study_design_scores_gemma":[0.00001604875,0.000003343646,0.0008509973,0.00004565881,0.000002888539,0.00001488944,0.00003838768,0.00005177646,0.000317251,0.000222018,0.9984232,0.00001346581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004817786,0.0002387847,0.001615415,0.000368764,0.0002381827,0.0001258534,0.653833,0.06264622,0.280452],"genre_scores_gemma":[0.002193754,0.0004234884,0.002749794,0.0003144883,0.00009391765,0.0001712628,0.482255,0.06427608,0.4475222],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2109674,"threshold_uncertainty_score":0.3009194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00781600875543699,"score_gpt":0.1959543583783939,"score_spread":0.1881383496229569,"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."}}