{"id":"W6979995918","doi":"","title":"ARCHIVEIT-279-QUARTERLY-XESDFI-20111005140623-00000-crawling114.us.archive.org-6680.warc.gz","year":2011,"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); Work (physics); 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":[0.001188765,0.00227117,0.001134435,0.00781759,0.002295189,0.006061776,0.002149261,0.001683986,0.8192883],"category_scores_gemma":[0.009672984,0.001961769,0.0008490434,0.01006215,0.0006528365,0.003993462,0.0037552,0.001421691,0.89794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003031928,"about_ca_system_score_gemma":0.002358146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05597704,"about_ca_topic_score_gemma":0.06609543,"domain_scores_codex":[0.9990491,0.00008435266,0.00006786134,0.0001805714,0.0004407212,0.0001772483],"domain_scores_gemma":[0.9928764,0.0008033341,0.0003226976,0.002389544,0.002588249,0.001019808],"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":[0.00001721252,0.00001035511,0.0001557809,0.00006211637,0.00000254978,0.00000605812,0.00002861153,0.00002343343,0.00007057339,0.0003276237,0.9893206,0.009974992],"study_design_scores_gemma":[0.00002742132,0.000007311909,0.001549804,0.00005668299,0.000003697348,0.00002560339,0.00003997796,0.0001177748,0.0005979919,0.0002409844,0.9973142,0.00001856188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007199393,0.000222646,0.00216475,0.0006549467,0.000251311,0.0002148276,0.5688657,0.09716304,0.3297428],"genre_scores_gemma":[0.003582642,0.0004833081,0.003285448,0.0004161867,0.0001464657,0.0002692289,0.4560675,0.06157817,0.4741711],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1807117,"threshold_uncertainty_score":0.2577633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007850051614380002,"score_gpt":0.1889978420462689,"score_spread":0.1811477904318889,"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."}}