{"id":"W7008210431","doi":"","title":"ARCHIVEIT-3552-DAILY-AOVPHD-20130210233602-00000-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":"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":[0.001003273,0.002524759,0.001400152,0.007812584,0.00215646,0.005715939,0.002436662,0.001421993,0.7394761],"category_scores_gemma":[0.009046573,0.001969008,0.001050546,0.01142456,0.0006456176,0.003775399,0.004046219,0.001455734,0.8677955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002734821,"about_ca_system_score_gemma":0.003043406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.100076,"about_ca_topic_score_gemma":0.1056768,"domain_scores_codex":[0.9990035,0.00008426286,0.00006755831,0.0001945083,0.0004714421,0.0001787209],"domain_scores_gemma":[0.9934216,0.0007344143,0.0002180338,0.002025854,0.002770657,0.0008293877],"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":[0.00001691263,0.000007532964,0.000126224,0.00007940822,0.000003674299,0.000005949576,0.0000414319,0.00002387425,0.00006655699,0.000258649,0.9916511,0.007718674],"study_design_scores_gemma":[0.00002181299,0.000005028987,0.001113527,0.00006149243,0.000004414419,0.00002152002,0.00004621907,0.0001113011,0.0005031676,0.0003072857,0.9977849,0.00001924527],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004128458,0.0001749793,0.001910865,0.0003222532,0.0001644186,0.0001404908,0.7386599,0.09584527,0.162369],"genre_scores_gemma":[0.002404424,0.0004098335,0.003608002,0.0002730697,0.00009657051,0.0002245615,0.6861775,0.08584186,0.2209641],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2605239,"threshold_uncertainty_score":0.3716057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006540745660801601,"score_gpt":0.1895578168804374,"score_spread":0.1830170712196358,"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."}}