{"id":"W6998575955","doi":"","title":"ARCHIVEIT-1830-NONE-DXOVPL-20120327185815-00000-crawling207.us.archive.org-6680.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":[0.001012718,0.00263899,0.001365494,0.007564529,0.00200809,0.005823352,0.002542609,0.001709033,0.732048],"category_scores_gemma":[0.008296937,0.001916553,0.0009020061,0.009286328,0.0006452786,0.003650251,0.003889736,0.001323521,0.864314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002587696,"about_ca_system_score_gemma":0.002570865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07624241,"about_ca_topic_score_gemma":0.08726773,"domain_scores_codex":[0.9990693,0.00006904804,0.0000539235,0.0001930647,0.000433386,0.0001812524],"domain_scores_gemma":[0.9941133,0.0006903474,0.0001981806,0.001748263,0.002366873,0.0008831876],"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":[0.00002790761,0.00001149756,0.0001732047,0.0001034712,0.000004500801,0.000008545012,0.00004169508,0.00003600481,0.0001293513,0.0003997364,0.9875558,0.01150841],"study_design_scores_gemma":[0.00002944994,0.000007604539,0.00122294,0.00006581478,0.000004613375,0.00003302927,0.00004323341,0.0001520795,0.0006839623,0.0003881538,0.9973465,0.00002255868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006179556,0.0002590658,0.00299592,0.0003992868,0.0002208635,0.0001797924,0.5975021,0.1558596,0.2419654],"genre_scores_gemma":[0.002681677,0.0003771226,0.004516516,0.0003444871,0.00009249286,0.0002081122,0.6083228,0.1003778,0.283079],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.267952,"threshold_uncertainty_score":0.382201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007964315797421866,"score_gpt":0.1983801129096059,"score_spread":0.190415797112184,"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."}}