{"id":"W7045692403","doi":"","title":"ARCHIVEIT-2475-QUARTERLY-OBEEHK-20110621214013-00002-crawling205.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":"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":[0.0008401965,0.001576782,0.0009585064,0.006123149,0.002135306,0.005714145,0.00205834,0.001386218,0.9130231],"category_scores_gemma":[0.006855095,0.001368056,0.0007604634,0.01081777,0.0005941471,0.003159103,0.003048774,0.001408936,0.9436909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002620696,"about_ca_system_score_gemma":0.002430535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07158622,"about_ca_topic_score_gemma":0.06652261,"domain_scores_codex":[0.999345,0.00005941064,0.00004175841,0.0001119489,0.0003124059,0.0001294287],"domain_scores_gemma":[0.9952793,0.0005950331,0.0002053376,0.001050457,0.002152285,0.0007176466],"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":[0.00001416075,0.000009677474,0.0001189415,0.00006308273,0.000001664147,0.000005418325,0.00002743252,0.00001679894,0.00004003016,0.000360766,0.9866894,0.01265269],"study_design_scores_gemma":[0.00001394705,0.000003591171,0.0008154051,0.00005736604,0.000001828708,0.00001151716,0.00003746218,0.00003115561,0.0001871404,0.0001931888,0.9986373,0.00001009527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003862344,0.0001989324,0.001037505,0.0004588295,0.0002751219,0.0001475748,0.4314818,0.02636732,0.5396466],"genre_scores_gemma":[0.002069875,0.0004605055,0.001558969,0.0003803615,0.0001189328,0.0002138475,0.2296176,0.02340665,0.7421733],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08697689,"threshold_uncertainty_score":0.1423391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007811216543685773,"score_gpt":0.1876179325890873,"score_spread":0.1798067160454015,"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."}}