{"id":"W7008075754","doi":"","title":"ARCHIVEIT-1830-WEEKLY-GGPYLC-20120228182953-00000-crawling114.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":[0.0009645062,0.002542279,0.001286759,0.008281144,0.002011486,0.005740067,0.002330947,0.00155798,0.7259309],"category_scores_gemma":[0.007650065,0.001777377,0.0008925034,0.01090122,0.0006241011,0.003423049,0.003538868,0.001297191,0.8568496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002674957,"about_ca_system_score_gemma":0.002712604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08984873,"about_ca_topic_score_gemma":0.1068532,"domain_scores_codex":[0.9991193,0.00006079123,0.00004880945,0.0001762324,0.0004234587,0.0001714194],"domain_scores_gemma":[0.9944238,0.0005829761,0.0001958223,0.00152026,0.002433644,0.0008435065],"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":[0.00002213864,0.0000106431,0.0001545421,0.00009144492,0.000003992051,0.00000729558,0.00003810948,0.00003331007,0.0001130803,0.0003396706,0.9880533,0.01113244],"study_design_scores_gemma":[0.00002470018,0.000006412379,0.001378586,0.00006425372,0.000004785719,0.00002635203,0.00004181049,0.0001462121,0.0006167569,0.0003401081,0.9973295,0.00002055502],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000613947,0.0002617694,0.002433756,0.0003940136,0.0002071809,0.0001756713,0.6127682,0.125714,0.2574314],"genre_scores_gemma":[0.002616063,0.00042231,0.004045825,0.0003084681,0.00009261927,0.0001979123,0.5818818,0.07986898,0.330566],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2740691,"threshold_uncertainty_score":0.3909263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008103570676186618,"score_gpt":0.1975667282943933,"score_spread":0.1894631576182067,"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."}}