{"id":"W6998644013","doi":"","title":"ARCHIVEIT-1830-NONE-CHONHQ-20111006205614-00060-crawling205.us.archive.org-6681.warc.gz","year":2011,"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":[0.001074502,0.002756394,0.001472893,0.008033115,0.002206406,0.005764281,0.002607971,0.001896485,0.7413907],"category_scores_gemma":[0.008767398,0.001996545,0.0009646325,0.01035604,0.000694996,0.003763382,0.00408144,0.001348798,0.8712357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002958305,"about_ca_system_score_gemma":0.002772936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09295554,"about_ca_topic_score_gemma":0.1100077,"domain_scores_codex":[0.9989758,0.00007710067,0.00005782454,0.0002052677,0.0004852781,0.0001986854],"domain_scores_gemma":[0.9935748,0.0007866544,0.0002127238,0.001854234,0.002718682,0.0008529352],"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":[0.00002428592,0.00000963362,0.0001365456,0.0001059173,0.000004241414,0.000007598148,0.00003812405,0.00003245816,0.000115151,0.0003355451,0.9903286,0.008861844],"study_design_scores_gemma":[0.00002946728,0.000006957048,0.00109329,0.00006360746,0.000004443653,0.0000300028,0.0000471837,0.0001322934,0.0006241307,0.000352596,0.9975941,0.0000220395],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005116246,0.0002466814,0.002328557,0.0004082414,0.0002285315,0.0001587769,0.6856533,0.1198065,0.1906577],"genre_scores_gemma":[0.002228426,0.0003700004,0.00370789,0.0003432273,0.00008673387,0.0001845877,0.6816383,0.07936768,0.2320732],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2586093,"threshold_uncertainty_score":0.3688747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009269143798549127,"score_gpt":0.1924300199413449,"score_spread":0.1831608761427957,"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."}}