{"id":"W6989378959","doi":"","title":"ARCHIVEIT-1830-NONE-RRJJAM-20111207165130-00000-crawling211.us.archive.org-6680.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":[0.001108169,0.002707061,0.001424143,0.007805062,0.002181948,0.006197388,0.002768354,0.001906208,0.7292753],"category_scores_gemma":[0.009349776,0.002057876,0.0009783822,0.009743376,0.0006533455,0.003708068,0.004119228,0.00141952,0.874942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656355,"about_ca_system_score_gemma":0.00273973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07574519,"about_ca_topic_score_gemma":0.08896782,"domain_scores_codex":[0.9989188,0.00008284043,0.00006709492,0.0002097054,0.0005212012,0.0002003969],"domain_scores_gemma":[0.9930861,0.0008160325,0.0002409337,0.002187293,0.002737349,0.0009324033],"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":[0.00002498582,0.00001122062,0.0001514296,0.00009309548,0.000004340146,0.000008108901,0.00003490765,0.00003465294,0.0001147382,0.0003686146,0.9886517,0.0105022],"study_design_scores_gemma":[0.00002601569,0.00000687303,0.00111331,0.00006218324,0.000004615316,0.0000311844,0.00004065332,0.0001487649,0.0006724871,0.0003412466,0.9975309,0.00002176954],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006000185,0.0002572607,0.002959487,0.0004585318,0.0002550395,0.0001911526,0.601609,0.1455914,0.2480781],"genre_scores_gemma":[0.002451445,0.0003800312,0.004420748,0.0003432628,0.0001001374,0.0002068726,0.6078008,0.08855899,0.2957378],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2707247,"threshold_uncertainty_score":0.3861558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009381871627730031,"score_gpt":0.1927959391537571,"score_spread":0.183414067526027,"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."}}