{"id":"W6998635927","doi":"","title":"ARCHIVEIT-1830-MONTHLY-CSRYZP-20120812203004-00000-crawling208.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":[0.000971554,0.002386629,0.0011588,0.007533592,0.001703618,0.005260735,0.002133214,0.00136795,0.6821665],"category_scores_gemma":[0.007524057,0.001699917,0.0008514415,0.009904463,0.0005272371,0.003110812,0.003085604,0.001260285,0.8150692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002458734,"about_ca_system_score_gemma":0.00255788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08665101,"about_ca_topic_score_gemma":0.1032197,"domain_scores_codex":[0.9991112,0.00005984815,0.00005010009,0.0001666986,0.0004452131,0.0001668803],"domain_scores_gemma":[0.9943855,0.0005780258,0.0002168805,0.001562791,0.00243982,0.0008169592],"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":[0.00002361268,0.00001063121,0.0001701207,0.00007637261,0.000003919531,0.000006556847,0.00002910406,0.00003404778,0.0001016336,0.0003280602,0.9887049,0.01051106],"study_design_scores_gemma":[0.00002798324,0.000006638994,0.001804205,0.00005716366,0.000004747662,0.00002474178,0.00003631846,0.0001683277,0.0007185961,0.0003460686,0.9967839,0.00002121656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006276623,0.0002172283,0.002201807,0.0003752947,0.000193785,0.0001412536,0.6790336,0.1102308,0.2069786],"genre_scores_gemma":[0.002684446,0.000357813,0.004037574,0.0002722399,0.00009824432,0.0001807616,0.6432124,0.07393743,0.2752191],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3178335,"threshold_uncertainty_score":0.4533508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007717056324238205,"score_gpt":0.1961986273167207,"score_spread":0.1884815709924825,"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."}}