{"id":"W6989321696","doi":"","title":"ARCHIVEIT-2402-WEEKLY-RVZXLT-20120419161433-00000-crawling201.us.archive.org-6680.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":"Politics; Field (mathematics); Natural (archaeology); Work (physics)","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":[0.0009145967,0.002441303,0.00143571,0.008430921,0.001673512,0.005532908,0.002212787,0.001620226,0.8024354],"category_scores_gemma":[0.008548985,0.001763145,0.001047337,0.01329722,0.0005184131,0.00314849,0.003364885,0.001504189,0.9027486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001945891,"about_ca_system_score_gemma":0.001910593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04836043,"about_ca_topic_score_gemma":0.05155829,"domain_scores_codex":[0.9992138,0.00007009479,0.0000554203,0.0001648808,0.0003530658,0.0001426853],"domain_scores_gemma":[0.9953565,0.0007154812,0.0001842186,0.00126772,0.001909944,0.0005659998],"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":[0.00001469049,0.000007437342,0.0001029521,0.00008016366,0.000003200793,0.000004815134,0.00002139881,0.00002524211,0.00004661403,0.000222583,0.9922626,0.007208303],"study_design_scores_gemma":[0.00003060372,0.00000498758,0.001047801,0.00007604554,0.000004485234,0.00001712036,0.00003322788,0.0001078374,0.0003716112,0.0004317297,0.9978588,0.00001580871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002853455,0.0001434156,0.001168874,0.0002712763,0.0001212586,0.00007646177,0.8409634,0.04702187,0.1099481],"genre_scores_gemma":[0.001678025,0.0003532923,0.002603508,0.0002379945,0.00007358017,0.0002024678,0.7600469,0.04536453,0.1894397],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1975646,"threshold_uncertainty_score":0.2818019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007950869289172399,"score_gpt":0.1968966623633155,"score_spread":0.1889457930741431,"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."}}