{"id":"W6989375709","doi":"","title":"ARCHIVEIT-3490-PATCH-NINNZU-20130129181217-00000-crawling113.us.archive.org-6682.warc.gz","year":2013,"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":"Process (computing); Identification (biology); Product (mathematics)","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":[0.001120626,0.002585986,0.001652836,0.00635964,0.002097459,0.005769665,0.003308794,0.001837567,0.8339698],"category_scores_gemma":[0.01004308,0.002150243,0.001097004,0.008012653,0.0006891083,0.004866614,0.004964235,0.001471668,0.925539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002341904,"about_ca_system_score_gemma":0.001972586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03937629,"about_ca_topic_score_gemma":0.04340644,"domain_scores_codex":[0.9991055,0.00008241498,0.00005480935,0.0002096174,0.0003852774,0.0001623763],"domain_scores_gemma":[0.9934156,0.0008882798,0.0001977482,0.002383681,0.002278276,0.0008363686],"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":[0.00002309705,0.000009716261,0.000109092,0.00008051941,0.000003235622,0.000006280473,0.00003817113,0.00002397932,0.0000769343,0.0003069534,0.9889591,0.01036296],"study_design_scores_gemma":[0.00002832628,0.000006180786,0.0007460075,0.00006828532,0.000004102922,0.00002766908,0.00004148106,0.0001283325,0.0005506635,0.0004288582,0.9979501,0.00001994225],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004852551,0.0002382088,0.00427484,0.0004707437,0.0002884294,0.0001987677,0.4554437,0.22454,0.3140602],"genre_scores_gemma":[0.003059753,0.0004436083,0.005910107,0.0004925604,0.0001288189,0.0003051492,0.4429068,0.1901909,0.3565623],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1660302,"threshold_uncertainty_score":0.2368218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006709341179688327,"score_gpt":0.1910615487448973,"score_spread":0.184352207565209,"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."}}