{"id":"W7017409188","doi":"","title":"ARCHIVEIT-1830-WEEKLY-BOLVCH-20120306182904-00000-crawling109.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":[0.0009711004,0.002366915,0.001198917,0.007499627,0.001925826,0.005890066,0.002307115,0.001498948,0.7225063],"category_scores_gemma":[0.007572001,0.001685919,0.0008396679,0.009432008,0.0006136353,0.003465771,0.003462408,0.001330509,0.8447848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002484524,"about_ca_system_score_gemma":0.002394245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07667571,"about_ca_topic_score_gemma":0.08850699,"domain_scores_codex":[0.9991546,0.00006003574,0.00004769352,0.0001650625,0.0004112727,0.0001614017],"domain_scores_gemma":[0.9949197,0.0005677621,0.0001787782,0.00146481,0.002099904,0.0007690375],"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":[0.00002532171,0.00001249174,0.0001723987,0.00008855338,0.000004127904,0.000007926138,0.00003929499,0.00003720368,0.0001176298,0.0004405149,0.9868874,0.01216719],"study_design_scores_gemma":[0.00002534648,0.000006446684,0.001396267,0.00006663339,0.000004461324,0.00002737189,0.0000423479,0.0001513579,0.0006610987,0.0003788994,0.997219,0.00002090651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006924218,0.00028198,0.002765883,0.000420688,0.0002345259,0.000177725,0.583665,0.1289718,0.28279],"genre_scores_gemma":[0.002878371,0.000433068,0.00419003,0.0003102801,0.00009747511,0.000192109,0.5456535,0.08449211,0.3617533],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2774937,"threshold_uncertainty_score":0.395811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008385111967908688,"score_gpt":0.1993782576401441,"score_spread":0.1909931456722354,"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."}}