{"id":"W7045627088","doi":"","title":"ARCHIVEIT-1830-MONTHLY-UBQSNA-20111212202916-00000-crawling115.us.archive.org-6680.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":"Identification (biology); Work (physics); Process (computing)","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":[0.0009658539,0.002318818,0.001204359,0.007677949,0.001997404,0.005874008,0.002158188,0.001486007,0.7484815],"category_scores_gemma":[0.007512625,0.001637206,0.0008628306,0.01064403,0.0005622185,0.003206384,0.003333529,0.001288132,0.8668491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00280288,"about_ca_system_score_gemma":0.002690144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08548391,"about_ca_topic_score_gemma":0.1107406,"domain_scores_codex":[0.9991065,0.0000628713,0.00005043393,0.0001573563,0.0004552458,0.0001677211],"domain_scores_gemma":[0.994653,0.0005756611,0.0002052853,0.001411844,0.002327933,0.0008262776],"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":[0.00002120593,0.00001041021,0.0001446396,0.00007436996,0.000003415616,0.000006648192,0.00003013165,0.00003055984,0.0000899396,0.0003280099,0.9884871,0.01077365],"study_design_scores_gemma":[0.00002042276,0.000005389674,0.001297625,0.00005634565,0.00000394373,0.00002063476,0.00003856956,0.000128951,0.0005423457,0.0003092539,0.9975585,0.00001801826],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006067069,0.0002374808,0.002039037,0.0004139931,0.0002067229,0.0001700272,0.6110318,0.0857967,0.2994977],"genre_scores_gemma":[0.002541193,0.0003983162,0.003650481,0.0002961358,0.00009818163,0.0001939069,0.5471897,0.05910147,0.3865306],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2515185,"threshold_uncertainty_score":0.3587606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00886492394398618,"score_gpt":0.1904452516471931,"score_spread":0.1815803277032069,"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."}}