{"id":"W6980001277","doi":"","title":"ARCHIVEIT-1830-WEEKLY-ADJPQS-20120117182816-00000-crawling205.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":[0.0009852144,0.002712359,0.001250891,0.008717283,0.001975643,0.005525637,0.002374208,0.001538006,0.672224],"category_scores_gemma":[0.008445571,0.001968739,0.0009125359,0.01095068,0.0006191142,0.003545565,0.00356158,0.001295821,0.8166795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002724869,"about_ca_system_score_gemma":0.002821251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1058408,"about_ca_topic_score_gemma":0.1299669,"domain_scores_codex":[0.9990471,0.00006339666,0.00005406462,0.0001911748,0.0004599445,0.0001842712],"domain_scores_gemma":[0.9938221,0.0007009004,0.0002195716,0.001684824,0.002688667,0.0008839635],"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":[0.00002446552,0.00001027863,0.0001724788,0.0001028953,0.00000445466,0.000007619512,0.00004129409,0.00003404582,0.0001141623,0.0003207058,0.9894978,0.009669872],"study_design_scores_gemma":[0.00002979582,0.000007451528,0.001571634,0.00006729946,0.000005418006,0.0000276614,0.00004936866,0.0001623791,0.0006914797,0.0003741595,0.9969903,0.00002300424],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005846995,0.0002502869,0.002195779,0.0003482364,0.000202186,0.0001519335,0.6929529,0.121934,0.18138],"genre_scores_gemma":[0.002451873,0.0003941787,0.004147709,0.0002632448,0.00008726096,0.0001761334,0.6841124,0.077935,0.2304322],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.327776,"threshold_uncertainty_score":0.4675327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008497962044983627,"score_gpt":0.1970944665304466,"score_spread":0.1885965044854629,"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."}}