{"id":"W6998753496","doi":"","title":"ARCHIVEIT-1830-WEEKLY-OMAKFV-20120207182728-00000-crawling203.us.archive.org-6680.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":[0.000973445,0.002700714,0.00130469,0.008075624,0.002009992,0.005925446,0.002333651,0.001648971,0.7021846],"category_scores_gemma":[0.007652197,0.001831167,0.0009133152,0.01027836,0.0006026028,0.003584899,0.00353427,0.001277794,0.8452046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002593833,"about_ca_system_score_gemma":0.002470005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08570063,"about_ca_topic_score_gemma":0.1029855,"domain_scores_codex":[0.999123,0.00006068384,0.00004831493,0.0001803232,0.0004141486,0.0001734444],"domain_scores_gemma":[0.9948562,0.0005420113,0.0001857675,0.001435174,0.002154924,0.0008260099],"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":[0.00002551879,0.0000113398,0.0001586342,0.00009775413,0.00000457758,0.000007548765,0.00003723735,0.00003523817,0.0001223564,0.0003526145,0.9880934,0.01105381],"study_design_scores_gemma":[0.00002780638,0.00000732026,0.001420315,0.0000665674,0.000005069667,0.00002836801,0.00004130053,0.0001564072,0.0006469639,0.000344533,0.9972332,0.00002215022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006219674,0.0002989749,0.002360022,0.0003876633,0.0002289635,0.0001704704,0.6321467,0.1283071,0.2354782],"genre_scores_gemma":[0.002672939,0.0004637607,0.004216012,0.0003048889,0.0000991183,0.000186853,0.6139038,0.08142368,0.296729],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2978154,"threshold_uncertainty_score":0.4247975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00825478843500686,"score_gpt":0.1980361807074714,"score_spread":0.1897813922724646,"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."}}