{"id":"W6980014206","doi":"","title":"ARCHIVEIT-3490-TWELVE_HOURS-TPLNDI-20130209172834-00000-wbgrp-crawl102.us.archive.org-6680.warc.gz","year":2013,"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":[0.0009024699,0.001901466,0.001276985,0.005489131,0.002249615,0.006777566,0.002692621,0.001427497,0.9012475],"category_scores_gemma":[0.00636531,0.001649647,0.0009605881,0.008967608,0.0007203481,0.003653233,0.003546764,0.001447057,0.9408218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003230501,"about_ca_system_score_gemma":0.002418433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07703293,"about_ca_topic_score_gemma":0.08132531,"domain_scores_codex":[0.9993277,0.00005318637,0.00003441628,0.0001201504,0.0003390251,0.0001255083],"domain_scores_gemma":[0.9955512,0.0004760255,0.0001523519,0.001130686,0.001957823,0.0007318731],"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":[0.00002492056,0.000009895618,0.0001004457,0.00007416196,0.000002568924,0.000007459546,0.00004503782,0.00002436485,0.00007461107,0.0004161835,0.9859275,0.01329279],"study_design_scores_gemma":[0.00001461542,0.000003545184,0.0005871937,0.00004183692,0.000002329792,0.00001407733,0.00003500724,0.00003237412,0.0002802562,0.000210853,0.9987655,0.00001248795],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004162797,0.0002137491,0.002048739,0.00039771,0.0003445443,0.0001537398,0.3476482,0.06042799,0.5883491],"genre_scores_gemma":[0.002040886,0.0003338493,0.00218477,0.0003023104,0.0001089571,0.0001654101,0.1710621,0.05514443,0.7686573],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0987525,"threshold_uncertainty_score":0.1531691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006489939410003829,"score_gpt":0.1915798937892778,"score_spread":0.1850899543792739,"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."}}