{"id":"W6989404848","doi":"","title":"ARCHIVEIT-2475-MONTHLY-RHVXLW-20110820170920-00000-crawling203.us.archive.org-6682.warc.gz","year":2011,"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":[0.0008714388,0.002228134,0.001223455,0.00782136,0.001825113,0.005428233,0.002243256,0.001369698,0.8231301],"category_scores_gemma":[0.006882737,0.001620814,0.0008656127,0.01318642,0.000540859,0.003012305,0.003116024,0.001389973,0.9013622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229679,"about_ca_system_score_gemma":0.002412304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08633014,"about_ca_topic_score_gemma":0.08978052,"domain_scores_codex":[0.9992917,0.00005883137,0.00004721651,0.0001331819,0.0003330981,0.0001360332],"domain_scores_gemma":[0.9952404,0.0006604103,0.0001934825,0.001205049,0.002062989,0.0006376725],"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":[0.00001714844,0.000007308129,0.0001251625,0.00008637824,0.000002980224,0.000005625418,0.00003022703,0.00002359356,0.00005806017,0.000253417,0.989869,0.009521028],"study_design_scores_gemma":[0.00001961795,0.000003230525,0.001077857,0.0000640268,0.000003488656,0.00001381111,0.00003519542,0.00006549117,0.0003320756,0.0002708121,0.9981005,0.00001391672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003019196,0.0001658073,0.001160559,0.0002804514,0.000147505,0.00009583029,0.7776066,0.03881257,0.1814288],"genre_scores_gemma":[0.001900197,0.0004361757,0.002725894,0.0002571887,0.00009574161,0.0001980665,0.6644984,0.04453468,0.2853535],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1768699,"threshold_uncertainty_score":0.2522833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009142705876714424,"score_gpt":0.1919486034280386,"score_spread":0.1828058975513242,"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."}}