{"id":"W7017275981","doi":"","title":"ARCHIVEIT-279-WEEKLY-HYBHPZ-20120619135605-00000-crawling114.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":"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":[0.001012016,0.002460233,0.001225834,0.007036034,0.002136415,0.005645602,0.00233918,0.00173979,0.7964348],"category_scores_gemma":[0.007858847,0.002101331,0.0009259259,0.008778383,0.0006508019,0.004146057,0.004285328,0.001405552,0.8852047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002715804,"about_ca_system_score_gemma":0.001927569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05638223,"about_ca_topic_score_gemma":0.07151395,"domain_scores_codex":[0.9991757,0.0000694089,0.00005342181,0.0001707547,0.0003678034,0.0001627564],"domain_scores_gemma":[0.9943572,0.0006391543,0.0002267461,0.001920692,0.001918776,0.0009374259],"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":[0.00002385742,0.00001030797,0.0001676676,0.00008845874,0.000003716432,0.000008053034,0.00004464589,0.0000288448,0.0001109977,0.00035601,0.9889269,0.01023059],"study_design_scores_gemma":[0.00003289663,0.000008095109,0.001624931,0.00005923624,0.000004781538,0.00003143962,0.00004702689,0.0001623057,0.0007669673,0.0002886485,0.9969513,0.00002227564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007136058,0.0002406239,0.002804495,0.000509392,0.0002259646,0.000210457,0.5877858,0.1409636,0.266546],"genre_scores_gemma":[0.003750754,0.0004361062,0.003794116,0.00038478,0.0001254896,0.0002537915,0.5059264,0.09908145,0.3862472],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2035652,"threshold_uncertainty_score":0.290361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007944231605460853,"score_gpt":0.1968460080203599,"score_spread":0.188901776414899,"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."}}