{"id":"W6998608140","doi":"","title":"ARCHIVEIT-1830-NONE-FVTXUG-20111129221636-00000-crawling200.us.archive.org-6683.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":[0.001030476,0.002739751,0.001388318,0.007554402,0.00212289,0.005577714,0.00257974,0.001857769,0.7074181],"category_scores_gemma":[0.008602313,0.002052521,0.0009138276,0.009554023,0.0006560655,0.003548106,0.003811855,0.001338461,0.8531471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002769012,"about_ca_system_score_gemma":0.002656194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09076797,"about_ca_topic_score_gemma":0.1025068,"domain_scores_codex":[0.999047,0.00006926282,0.00005529069,0.0001905225,0.0004551846,0.0001827908],"domain_scores_gemma":[0.9941215,0.0007077138,0.0002017842,0.001820029,0.002338013,0.0008109268],"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":[0.00002668431,0.00001093262,0.0001564576,0.0000981772,0.000004226124,0.000008211569,0.00003794385,0.00003719675,0.0001297131,0.0003685671,0.9883311,0.01079072],"study_design_scores_gemma":[0.00002986414,0.000007928318,0.001268397,0.00006524933,0.000004609097,0.00003388129,0.0000440522,0.0001656905,0.0007443273,0.0003572001,0.9972553,0.00002357214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000617097,0.0002765371,0.002957089,0.0004132345,0.0002360013,0.0001888546,0.6251244,0.1538203,0.2163665],"genre_scores_gemma":[0.002480041,0.0004031671,0.004580676,0.0003207962,0.00008574203,0.000201898,0.647809,0.08887681,0.2552418],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2925819,"threshold_uncertainty_score":0.4173325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009382073332905755,"score_gpt":0.1932725149405242,"score_spread":0.1838904416076184,"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."}}