{"id":"W7045257310","doi":"","title":"ARCHIVEIT-2475-MONTHLY-XEUHBJ-20120520171045-00000-crawling212.us.archive.org-6681.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":"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":[0.0009113,0.00218574,0.001277891,0.007488002,0.001855503,0.005549585,0.002301853,0.001323388,0.8285087],"category_scores_gemma":[0.006680961,0.001678927,0.0008570412,0.01239266,0.0005287746,0.003196475,0.003180159,0.001329031,0.9019598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002022659,"about_ca_system_score_gemma":0.00205467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06466466,"about_ca_topic_score_gemma":0.06865489,"domain_scores_codex":[0.9992861,0.00006356684,0.00004849654,0.0001488863,0.0003186643,0.0001343138],"domain_scores_gemma":[0.995362,0.0006434619,0.0001845303,0.001215905,0.001910884,0.0006833638],"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":[0.00002099968,0.000008580134,0.0001327514,0.00008748024,0.00000308962,0.000005877036,0.00003467933,0.00002345438,0.00006727477,0.0002981944,0.9884312,0.01088645],"study_design_scores_gemma":[0.00002271229,0.0000040188,0.001107397,0.00006300187,0.000003609079,0.00001677435,0.00003642452,0.00007328941,0.0003599483,0.000306999,0.9979907,0.00001512477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003618455,0.0001916654,0.001565359,0.0003018625,0.0001619787,0.0001034809,0.7367751,0.05461052,0.2059282],"genre_scores_gemma":[0.002214605,0.0004551224,0.003368434,0.0002769029,0.0001077293,0.0002026586,0.6360694,0.05974674,0.2975585],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1714913,"threshold_uncertainty_score":0.2446114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007623995593882422,"score_gpt":0.1962751931741536,"score_spread":0.1886511975802712,"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."}}