{"id":"W7008018279","doi":"","title":"ARCHIVEIT-1830-WEEKLY-LODVSM-20120124182717-00000-crawling207.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":"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":[0.0009597254,0.002678736,0.001291572,0.008372856,0.001969668,0.005849381,0.002397295,0.001683835,0.7128524],"category_scores_gemma":[0.007774785,0.001898653,0.0009706231,0.01068563,0.0005948785,0.003657389,0.003731661,0.001323209,0.850065],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002578254,"about_ca_system_score_gemma":0.002449599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08039133,"about_ca_topic_score_gemma":0.09929444,"domain_scores_codex":[0.9990904,0.00006308465,0.00004907732,0.0001837288,0.0004343065,0.000179312],"domain_scores_gemma":[0.9947675,0.0005835858,0.0001918381,0.001524423,0.002117071,0.0008155057],"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":[0.00002294818,0.0000109242,0.0001413611,0.00008778556,0.000004201232,0.000007134728,0.00003364287,0.0000306457,0.0001078528,0.0003062139,0.9891662,0.01008112],"study_design_scores_gemma":[0.00002836752,0.000006922835,0.001275105,0.0000616742,0.000004732345,0.00002556981,0.00004084822,0.0001435535,0.0006097128,0.0003419796,0.9974405,0.00002105869],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005830537,0.0002425014,0.002259925,0.0003621251,0.0002002598,0.0001584075,0.6504405,0.1256705,0.2200828],"genre_scores_gemma":[0.002392712,0.0003744649,0.003984342,0.0002875061,0.00009152575,0.0001856484,0.646084,0.07994779,0.2666521],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2871476,"threshold_uncertainty_score":0.4095811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008431567041104489,"score_gpt":0.198657295944608,"score_spread":0.1902257289035035,"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."}}