{"id":"W6989397395","doi":"","title":"ARCHIVEIT-1830-WEEKLY-VRQOPC-20121106181325-00000-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":[0.001015889,0.00250799,0.001234778,0.008243112,0.002021616,0.005787595,0.002294759,0.001527668,0.6939471],"category_scores_gemma":[0.008379205,0.001776687,0.0008994635,0.01115362,0.0006102968,0.003363882,0.003495359,0.001326394,0.8281336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002608245,"about_ca_system_score_gemma":0.002738982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1040311,"about_ca_topic_score_gemma":0.1234814,"domain_scores_codex":[0.9990733,0.00006343884,0.00005123226,0.0001775342,0.0004585478,0.0001760321],"domain_scores_gemma":[0.993939,0.000670322,0.0002199626,0.001660937,0.002648999,0.000860731],"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":[0.00002096695,0.000009293724,0.0001447244,0.00008787411,0.000003939405,0.000006743343,0.00003487862,0.00003263451,0.0001022088,0.0002853229,0.9894409,0.009830562],"study_design_scores_gemma":[0.00002594821,0.000006368848,0.001388405,0.00006264912,0.000004871768,0.00002380497,0.00004397469,0.0001554522,0.000615672,0.0003205581,0.9973317,0.00002056095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005938762,0.000269324,0.002340444,0.000398822,0.0002115907,0.0001763846,0.6688098,0.1184011,0.2087986],"genre_scores_gemma":[0.002636703,0.0004339242,0.004367584,0.000311429,0.00009413795,0.0002073004,0.6389906,0.07996215,0.2729962],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3060529,"threshold_uncertainty_score":0.4365472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008121665198522856,"score_gpt":0.197526596881106,"score_spread":0.1894049316825831,"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."}}