{"id":"W7026723295","doi":"","title":"ARCHIVEIT-3490-ANNUAL-JJGZFW-20130117182807-00000-wbgrp-crawl055.us.archive.org-6682.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":[0.0009681862,0.001680561,0.001090849,0.005471656,0.002014622,0.006535824,0.002670941,0.001304155,0.8942032],"category_scores_gemma":[0.00596601,0.001464718,0.0008555574,0.009439592,0.0006403255,0.003251899,0.003181839,0.001422593,0.9329522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003418832,"about_ca_system_score_gemma":0.002991802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09995484,"about_ca_topic_score_gemma":0.1018749,"domain_scores_codex":[0.9993085,0.00005224676,0.00003768224,0.0001134224,0.0003505025,0.0001377958],"domain_scores_gemma":[0.9959929,0.0003888451,0.0001559252,0.0009017385,0.001844053,0.0007165993],"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":[0.00001942829,0.000009467313,0.00009612739,0.00006892752,0.000002333312,0.000006265172,0.00003730351,0.00002414961,0.0000622498,0.0005039304,0.9874091,0.01176059],"study_design_scores_gemma":[0.00001115539,0.000002573217,0.0005427116,0.00003462449,0.000001796652,0.000009931562,0.00002668364,0.00002153396,0.0001740269,0.0001705277,0.9989952,0.000009235728],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003480287,0.0002102491,0.00149602,0.000393087,0.0003646468,0.0001210879,0.3834074,0.03642637,0.577233],"genre_scores_gemma":[0.001683074,0.0003542122,0.001527596,0.0002687472,0.0001020105,0.0001433611,0.178324,0.0356659,0.7819312],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1057968,"threshold_uncertainty_score":0.1987461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005524135090744405,"score_gpt":0.1876549626436245,"score_spread":0.1821308275528801,"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."}}