{"id":"W7008004140","doi":"","title":"ARCHIVEIT-279-WEEKLY-NGZUCF-20130123224421-00000-crawling113.us.archive.org-6680.warc.gz","year":2013,"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":"Process (computing); Work (physics); Identification (biology); Product (mathematics)","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":[0.001222087,0.002434985,0.001278054,0.007055817,0.002373853,0.00596169,0.002517249,0.001738639,0.7823414],"category_scores_gemma":[0.009676036,0.00207607,0.0009008496,0.009049065,0.0007065628,0.004526532,0.004339299,0.001404196,0.8826531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003022231,"about_ca_system_score_gemma":0.002414817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06949538,"about_ca_topic_score_gemma":0.08630984,"domain_scores_codex":[0.9989976,0.00008790439,0.00006725064,0.0001993884,0.0004666513,0.000181182],"domain_scores_gemma":[0.9930294,0.0007887615,0.0002640719,0.002316022,0.002574994,0.001026766],"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":[0.00002287976,0.00001000416,0.0001611721,0.00008030062,0.000003315458,0.000007168182,0.00004140951,0.0000279149,0.0000927824,0.0003671751,0.989422,0.009763917],"study_design_scores_gemma":[0.00002909737,0.000007102412,0.001349402,0.00006379376,0.000004176869,0.00002838371,0.00004676149,0.000149485,0.0006609512,0.0002987048,0.9973407,0.0000214732],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006523278,0.0002257738,0.00307325,0.0004992356,0.0002456189,0.0002196861,0.5659373,0.1449621,0.2841847],"genre_scores_gemma":[0.003445531,0.0004313645,0.004399256,0.0003838729,0.0001232645,0.000281637,0.5050486,0.1072679,0.3786185],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2176586,"threshold_uncertainty_score":0.3104636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00683941157879102,"score_gpt":0.190226243288657,"score_spread":0.183386831709866,"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."}}