{"id":"W7026932782","doi":"","title":"ARCHIVEIT-3490-DAILY-RRCFOR-20130124054924-00000-wbgrp-crawl064.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":[0.001132546,0.002351124,0.001408796,0.007763118,0.002333976,0.007437217,0.002971253,0.001663456,0.8617083],"category_scores_gemma":[0.008854529,0.001949164,0.001079807,0.01194994,0.0007628731,0.004112557,0.003863432,0.001628391,0.932269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003503677,"about_ca_system_score_gemma":0.003046447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09899985,"about_ca_topic_score_gemma":0.08946752,"domain_scores_codex":[0.9990115,0.00007751135,0.00006029934,0.000173326,0.0004978274,0.0001795273],"domain_scores_gemma":[0.9934998,0.0007140165,0.0002324226,0.001695366,0.003044856,0.000813725],"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":[0.00002369049,0.000009999952,0.0001207217,0.00008358721,0.000003207148,0.000006752292,0.00004333652,0.00002764282,0.00006847858,0.0003936103,0.9879442,0.01127471],"study_design_scores_gemma":[0.00001644329,0.000003631409,0.0006912468,0.0000510606,0.000003094389,0.00001484642,0.00003718147,0.0000425443,0.0003384161,0.0002545081,0.9985321,0.00001508085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003840786,0.0002278785,0.00192921,0.0003897774,0.0002880525,0.0001295725,0.5774918,0.06725128,0.3519083],"genre_scores_gemma":[0.002081532,0.0004413098,0.002729622,0.0003546555,0.0001254131,0.0001893543,0.4005298,0.07483389,0.5187145],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1382917,"threshold_uncertainty_score":0.1972563,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006259342564995461,"score_gpt":0.1877487512662604,"score_spread":0.1814894087012649,"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."}}