{"id":"W7017409862","doi":"","title":"ARCHIVEIT-279-WEEKLY-TVZPBE-20111108135408-00000-crawling208.us.archive.org-6682.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":[0.000946953,0.002444443,0.001175749,0.006603571,0.002108439,0.005517392,0.002321472,0.001721652,0.7994031],"category_scores_gemma":[0.007240293,0.002019159,0.0008846165,0.008612229,0.000610425,0.003990993,0.003975639,0.001392889,0.893729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002648271,"about_ca_system_score_gemma":0.001878298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05593092,"about_ca_topic_score_gemma":0.07550147,"domain_scores_codex":[0.9992512,0.00006376972,0.0000484769,0.0001507396,0.0003400622,0.000145762],"domain_scores_gemma":[0.9948532,0.0006073639,0.0002073106,0.001728889,0.001757325,0.0008459566],"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":[0.00002141405,0.00001012789,0.0001489073,0.00007666941,0.000003203211,0.000007497802,0.00003596848,0.00002875627,0.00009936559,0.0003581167,0.9894595,0.009750552],"study_design_scores_gemma":[0.00002712741,0.000006672171,0.001373575,0.00005380666,0.000003994069,0.00002836207,0.00004129098,0.0001456498,0.0006623728,0.0002576314,0.9973801,0.00001932816],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0006563032,0.0002172637,0.002729907,0.0004909475,0.0002117076,0.00019124,0.5731869,0.1213742,0.3009416],"genre_scores_gemma":[0.003300929,0.0004368933,0.003702461,0.0003360973,0.000110911,0.0002447565,0.4902934,0.08346627,0.4181083],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2005969,"threshold_uncertainty_score":0.2861271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009378568679378092,"score_gpt":0.1917651655521696,"score_spread":0.1823865968727915,"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."}}