{"id":"W7017267196","doi":"","title":"ARCHIVEIT-2475-MONTHLY-WJSNQZ-20120820171030-00000-crawling202.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":"Process (computing); 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":[0.0009097591,0.002244586,0.001262334,0.008411645,0.001736057,0.005432683,0.002223055,0.001299511,0.8068947],"category_scores_gemma":[0.007330016,0.001593278,0.0008866899,0.01356143,0.0005268425,0.003019038,0.003093367,0.001338967,0.8882181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002225131,"about_ca_system_score_gemma":0.002378388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08936455,"about_ca_topic_score_gemma":0.09104962,"domain_scores_codex":[0.9992562,0.00006006979,0.00005106124,0.0001412166,0.0003545856,0.0001367295],"domain_scores_gemma":[0.9950936,0.0006637591,0.0001993849,0.001146724,0.002251265,0.0006453277],"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":[0.00001714794,0.000007107004,0.0001257049,0.00008627927,0.000003122741,0.000005074218,0.00003004688,0.00002214941,0.00005689533,0.0002434321,0.9902682,0.009134769],"study_design_scores_gemma":[0.0000220773,0.000003399291,0.001197483,0.0000651342,0.000003949958,0.00001361445,0.00003596887,0.0000701242,0.0003275879,0.0003036317,0.9979424,0.00001466641],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002872637,0.0001601047,0.001171201,0.0002662564,0.0001407531,0.00008991001,0.8052415,0.03930816,0.1533349],"genre_scores_gemma":[0.001842166,0.0004101274,0.002857564,0.0002559204,0.00009832713,0.0001979867,0.7023774,0.04585731,0.2461031],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1931053,"threshold_uncertainty_score":0.2754412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007681027536709947,"score_gpt":0.1967119727437394,"score_spread":0.1890309452070295,"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."}}