{"id":"W7045523954","doi":"","title":"ARCHIVEIT-1830-WEEKLY-OKCKSE-20120703183152-00000-crawling211.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":[0.0009593195,0.002424816,0.001226288,0.007925383,0.001947069,0.005737847,0.002251134,0.001541658,0.7260786],"category_scores_gemma":[0.00761311,0.001810691,0.0008716015,0.009723281,0.0005734021,0.003583109,0.003565278,0.001276734,0.8552081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002434894,"about_ca_system_score_gemma":0.00235789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07820971,"about_ca_topic_score_gemma":0.09811989,"domain_scores_codex":[0.9991776,0.00005843823,0.00004770854,0.0001604946,0.000393633,0.0001619346],"domain_scores_gemma":[0.9945534,0.000585524,0.0001942117,0.00149228,0.002320886,0.0008536158],"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":[0.0000239022,0.00001116567,0.0001611809,0.00009217171,0.00000406047,0.000007684387,0.00003678318,0.00003260752,0.0001138687,0.0003403974,0.9881437,0.01103249],"study_design_scores_gemma":[0.0000248543,0.000006305042,0.001328503,0.00006353963,0.000004579118,0.00002651612,0.00004052699,0.0001328389,0.0006007965,0.0003088786,0.997442,0.00002062356],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006359243,0.0002728095,0.002490617,0.0003814238,0.0002247421,0.0001735429,0.607776,0.1249836,0.2630613],"genre_scores_gemma":[0.002668946,0.0004359453,0.003929681,0.0003088999,0.00009617001,0.0001923032,0.5707076,0.08122326,0.3404371],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2739214,"threshold_uncertainty_score":0.3907155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008160395595564699,"score_gpt":0.1976759189183664,"score_spread":0.1895155233228017,"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."}}