{"id":"W6979999956","doi":"","title":"ARCHIVEIT-2901-MONTHLY-BUBEUT-20120420232217-00016-crawling204.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); Process (computing); Product (mathematics); Work (physics)","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":[0.0009821104,0.002536282,0.001382371,0.008088721,0.00183568,0.005651909,0.002186236,0.001492024,0.7798944],"category_scores_gemma":[0.008380968,0.001792687,0.0009983896,0.01157318,0.0005323729,0.00348451,0.003288863,0.001426562,0.8955991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115144,"about_ca_system_score_gemma":0.002057611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05055417,"about_ca_topic_score_gemma":0.05416808,"domain_scores_codex":[0.9991382,0.00007646511,0.00005621696,0.0001698888,0.0004139089,0.0001452854],"domain_scores_gemma":[0.9945674,0.0007437206,0.0002216765,0.001486571,0.002264231,0.0007163869],"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":[0.00002128223,0.000009272982,0.0001442767,0.0000798915,0.000003610636,0.000005708365,0.00002715179,0.00002975975,0.0000657053,0.00031756,0.9892702,0.01002574],"study_design_scores_gemma":[0.00002762586,0.000005269969,0.001194088,0.00006615499,0.000004480488,0.00002227904,0.00003155397,0.0001344494,0.0004887903,0.0004203866,0.9975865,0.0000184841],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000439467,0.0002095354,0.001995853,0.0003730695,0.0001590838,0.0001164968,0.7111537,0.08348177,0.2020711],"genre_scores_gemma":[0.002517638,0.0004444098,0.003654545,0.0003228372,0.0001141675,0.0002245901,0.6476481,0.07329455,0.2717792],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2201056,"threshold_uncertainty_score":0.3139539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008254610841117845,"score_gpt":0.1991422613321033,"score_spread":0.1908876504909855,"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."}}