{"id":"W7026719168","doi":"","title":"ARCHIVEIT-1830-WEEKLY-AYKQUQ-20120821183040-00000-crawling105.us.archive.org-6681.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":[0.001056102,0.002419031,0.001220023,0.008053916,0.002005351,0.005521732,0.002157119,0.001518395,0.7015494],"category_scores_gemma":[0.008479276,0.001739594,0.0008961909,0.01015818,0.0006114717,0.003442219,0.003403689,0.001257938,0.827698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0026228,"about_ca_system_score_gemma":0.002613501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09818207,"about_ca_topic_score_gemma":0.1156382,"domain_scores_codex":[0.9991036,0.00006634329,0.00005208885,0.0001732791,0.0004388469,0.0001658529],"domain_scores_gemma":[0.99362,0.0007193281,0.0002242766,0.001659901,0.002909862,0.0008667171],"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":[0.00002412347,0.000009812878,0.0001645653,0.00009747129,0.00000413953,0.000006910467,0.00003945794,0.00003189918,0.000111963,0.0003099567,0.9891755,0.01002408],"study_design_scores_gemma":[0.00002856971,0.000006916587,0.001560562,0.00006624457,0.000004930736,0.00002529908,0.00004800161,0.000152658,0.0006393828,0.000326809,0.9971184,0.0000222703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006337587,0.0002696489,0.002324522,0.0004060884,0.00022116,0.0001779092,0.673112,0.1163767,0.2064783],"genre_scores_gemma":[0.002807169,0.0004202219,0.00436,0.0003312525,0.0000951185,0.0002130223,0.6326272,0.07902517,0.2801209],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2984506,"threshold_uncertainty_score":0.4257036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008128461918152113,"score_gpt":0.1975490909317863,"score_spread":0.1894206290136342,"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."}}