{"id":"W6989421658","doi":"","title":"ARCHIVEIT-1830-NONE-XBYXAK-20110725171211-00000-crawling205.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":[0.00104177,0.002939971,0.001444603,0.00721505,0.002073098,0.005560193,0.002668921,0.001827617,0.7221867],"category_scores_gemma":[0.008204046,0.00218445,0.0009504465,0.009244391,0.0006611326,0.003764838,0.003919683,0.001402659,0.8647955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00270108,"about_ca_system_score_gemma":0.002598086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08273913,"about_ca_topic_score_gemma":0.09696267,"domain_scores_codex":[0.9990521,0.0000696194,0.00005515647,0.0001934961,0.0004383262,0.0001913965],"domain_scores_gemma":[0.9940979,0.0007253545,0.0001976366,0.001837289,0.002322316,0.0008193783],"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":[0.00002866852,0.00001079648,0.0001545974,0.0001010677,0.000004462816,0.000007926553,0.00003736115,0.00003741028,0.0001338139,0.0003536996,0.988482,0.01064815],"study_design_scores_gemma":[0.00003313095,0.000007989075,0.001264808,0.00006637324,0.000004963004,0.00003178851,0.00004436658,0.0001775046,0.0008365973,0.0004003838,0.9971067,0.00002538705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005981823,0.0002594816,0.003154653,0.0004047645,0.0002289874,0.0001879273,0.6131802,0.1740555,0.2079303],"genre_scores_gemma":[0.002510597,0.0003954433,0.004787334,0.0003240153,0.00008530915,0.0002060845,0.636268,0.1011097,0.2543136],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2778133,"threshold_uncertainty_score":0.3962669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00957204191190441,"score_gpt":0.1930719389983923,"score_spread":0.1834998970864879,"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."}}