{"id":"W7045579801","doi":"","title":"ARCHIVEIT-1830-NONE-REJIBU-20120328155818-00000-crawling212.us.archive.org-6683.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":[0.00109188,0.002717746,0.001425215,0.007359602,0.002080984,0.005814417,0.002655299,0.001758701,0.7030947],"category_scores_gemma":[0.008732039,0.001996909,0.0009081842,0.008833237,0.0006475099,0.003862134,0.003983129,0.00134542,0.8550251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002416352,"about_ca_system_score_gemma":0.002447923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07011237,"about_ca_topic_score_gemma":0.08250363,"domain_scores_codex":[0.9989894,0.00007342813,0.0000606017,0.0002107385,0.0004741616,0.0001916433],"domain_scores_gemma":[0.9938192,0.0006720551,0.0002072636,0.001978119,0.002431568,0.0008919396],"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":[0.00003074199,0.00001313147,0.0001781295,0.0001060952,0.00000480216,0.000009178198,0.00004237768,0.0000365824,0.0001616115,0.0004161551,0.9868173,0.01218395],"study_design_scores_gemma":[0.00003083819,0.000008785037,0.001268504,0.00006159576,0.000005019483,0.00003703019,0.00004321467,0.0001739204,0.0008131354,0.000373951,0.9971595,0.00002449449],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006865124,0.0002802979,0.003639526,0.0004363,0.0002729304,0.0002087332,0.5473157,0.2072824,0.2398776],"genre_scores_gemma":[0.002823486,0.0003894164,0.005307837,0.0003767165,0.0001045583,0.0002201305,0.5997631,0.1179885,0.2730263],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2969053,"threshold_uncertainty_score":0.4234993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008010610572813402,"score_gpt":0.1989112010168363,"score_spread":0.1909005904440229,"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."}}