{"id":"W6998894214","doi":"","title":"ARCHIVEIT-1830-MONTHLY-QAOHFF-20120413191905-00025-crawling201.us.archive.org-6682.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":[0.0009760141,0.002357059,0.001217783,0.008468078,0.001897925,0.005049662,0.002052885,0.001602103,0.7092654],"category_scores_gemma":[0.008045181,0.001748266,0.0009115413,0.0101523,0.0005563927,0.003233812,0.003099063,0.001156454,0.8279489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002472139,"about_ca_system_score_gemma":0.002240629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08220949,"about_ca_topic_score_gemma":0.09627893,"domain_scores_codex":[0.9991335,0.00006254981,0.00004931369,0.0001730592,0.00041285,0.0001686998],"domain_scores_gemma":[0.9947489,0.0006493198,0.0002026719,0.001367098,0.002331864,0.00070023],"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":[0.00002381273,0.00001029941,0.0001596901,0.00009265429,0.000004316184,0.000006866933,0.00003197317,0.0000335779,0.0001050612,0.0002782051,0.9890164,0.01023731],"study_design_scores_gemma":[0.00003688999,0.000008356819,0.001875268,0.00007247418,0.000005447722,0.00003141358,0.00004307143,0.0001873003,0.0007139894,0.0003931804,0.9966086,0.0000240629],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006209697,0.0002542325,0.002029885,0.0003859835,0.0001815595,0.0001531346,0.7019542,0.1097193,0.1847006],"genre_scores_gemma":[0.002775858,0.0003786486,0.004000193,0.0003398287,0.0001034811,0.0001930505,0.687098,0.06856922,0.2365417],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2907346,"threshold_uncertainty_score":0.4146976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007566392131127711,"score_gpt":0.1954103297794209,"score_spread":0.1878439376482932,"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."}}