{"id":"W7008015286","doi":"","title":"ARCHIVEIT-279-WEEKLY-AENAYG-20110809135443-00000-crawling209.us.archive.org-6683.warc.gz","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Waste Management and Recycling","field":"Environmental Science","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":[0.001100434,0.002208964,0.001204204,0.007325985,0.001972723,0.005774267,0.002138529,0.001498103,0.8544413],"category_scores_gemma":[0.007073377,0.001819553,0.0009552395,0.01011146,0.0006484035,0.003471101,0.003627408,0.001320792,0.9205787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695155,"about_ca_system_score_gemma":0.002195926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06769972,"about_ca_topic_score_gemma":0.07446198,"domain_scores_codex":[0.9991953,0.0000655687,0.00005964612,0.000153073,0.0003894205,0.00013701],"domain_scores_gemma":[0.9945518,0.0007022076,0.0002026269,0.001561307,0.002275202,0.0007069221],"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":[0.0000210726,0.00001187375,0.0001729108,0.00008270385,0.000002927272,0.000007887942,0.00004211067,0.00002874271,0.0001001033,0.0003167996,0.9827838,0.01642917],"study_design_scores_gemma":[0.00001835226,0.000004713263,0.001055368,0.00005622397,0.00000316207,0.00001912722,0.00003593554,0.00009974966,0.0004654786,0.0002156474,0.9980125,0.00001364335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005997722,0.0002046911,0.002588588,0.0004367666,0.0002137628,0.0001900645,0.5585643,0.08944356,0.3477584],"genre_scores_gemma":[0.002648667,0.0004584392,0.003667753,0.0003007909,0.00009193142,0.0002406025,0.4412814,0.05496495,0.4963455],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1455587,"threshold_uncertainty_score":0.2076218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006666149130692276,"score_gpt":0.171067085933222,"score_spread":0.1644009368025298,"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."}}