{"id":"W6989345383","doi":"","title":"ARCHIVEIT-1830-MONTHLY-QDPLNZ-20120712203329-00000-crawling105.us.archive.org-6681.warc.gz","year":2012,"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":[0.0009553282,0.002366652,0.001215624,0.007309304,0.001889665,0.005544927,0.00212869,0.001467429,0.7241129],"category_scores_gemma":[0.007543588,0.00169675,0.0008442075,0.009624212,0.0005352535,0.00324698,0.003269191,0.001226844,0.8518804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249822,"about_ca_system_score_gemma":0.002309638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0760098,"about_ca_topic_score_gemma":0.09256569,"domain_scores_codex":[0.9991328,0.00005803192,0.00004827261,0.0001685727,0.0004324941,0.0001598595],"domain_scores_gemma":[0.9945622,0.0005521757,0.0002095392,0.001492887,0.002337266,0.0008459265],"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":[0.00002316849,0.00001052521,0.0001661817,0.00007739443,0.000003708925,0.000006706741,0.00003030599,0.00003081651,0.0001027665,0.0003207485,0.9882724,0.01095532],"study_design_scores_gemma":[0.00002722911,0.000006728832,0.001578173,0.00005702046,0.000004513901,0.00002542534,0.00003619988,0.0001596155,0.0006355192,0.0003188877,0.9971299,0.00002076318],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006514596,0.0002409114,0.002210119,0.000408737,0.0002019811,0.0001618105,0.6283807,0.1162438,0.2515004],"genre_scores_gemma":[0.002950133,0.0003997637,0.003935831,0.0003366302,0.000107161,0.000200434,0.589225,0.07451265,0.3283324],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2758871,"threshold_uncertainty_score":0.3935194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00764200985060933,"score_gpt":0.1958244796915334,"score_spread":0.1881824698409241,"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."}}