{"id":"W6989362069","doi":"","title":"ARCHIVEIT-1830-WEEKLY-WEJEDU-20120515182839-00000-crawling203.us.archive.org-6683.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":[0.0009764973,0.00258785,0.001254133,0.008262231,0.001923755,0.005669781,0.002287386,0.001554959,0.6867573],"category_scores_gemma":[0.008061335,0.001853107,0.0008874502,0.0105052,0.0005925648,0.003489665,0.003436203,0.001293664,0.8282946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002571636,"about_ca_system_score_gemma":0.002487159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0878606,"about_ca_topic_score_gemma":0.108555,"domain_scores_codex":[0.9991301,0.00006031961,0.00004991665,0.0001737144,0.0004156571,0.0001702736],"domain_scores_gemma":[0.9943368,0.0006163702,0.0002129503,0.001560962,0.002388321,0.000884472],"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":[0.00002486886,0.00001065088,0.0001672759,0.00009422046,0.000004385959,0.00000766567,0.00003901765,0.00003447557,0.0001117688,0.0003422864,0.9886085,0.01055486],"study_design_scores_gemma":[0.00002724281,0.00000698412,0.001475366,0.00006339637,0.000004993792,0.00002830204,0.00004151039,0.0001566528,0.0006511443,0.0003502371,0.9971721,0.00002213769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006320801,0.0002773609,0.002347476,0.0003937276,0.0002264975,0.0001620155,0.6457568,0.132472,0.217732],"genre_scores_gemma":[0.002843068,0.00044098,0.004261731,0.0003079667,0.0001049137,0.0001931114,0.6205382,0.0896029,0.2817071],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3132427,"threshold_uncertainty_score":0.4468026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008264447064645313,"score_gpt":0.1986491241985721,"score_spread":0.1903846771339267,"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."}}