{"id":"W6998654667","doi":"","title":"ARCHIVEIT-2402-DAILY-UHIJRB-20120331203304-00031-crawling115.us.archive.org-6683.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":[0.0008147656,0.002089436,0.001347023,0.007246301,0.001743802,0.00572474,0.002120915,0.001531588,0.8499665],"category_scores_gemma":[0.007310303,0.001587303,0.000932879,0.0126382,0.0005334744,0.003147331,0.003099495,0.001436403,0.9245939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002079542,"about_ca_system_score_gemma":0.001950123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05302174,"about_ca_topic_score_gemma":0.05522832,"domain_scores_codex":[0.9992861,0.00005935,0.00004844505,0.0001281625,0.0003509585,0.0001270177],"domain_scores_gemma":[0.9956136,0.00061629,0.0001714343,0.001052889,0.001963885,0.0005819608],"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":[0.00001573627,0.000008362309,0.0001051997,0.00007965932,0.000002600364,0.000005520195,0.00002522388,0.0000229562,0.00004515469,0.0002593083,0.9901501,0.009280173],"study_design_scores_gemma":[0.00002042024,0.000004270061,0.0008574689,0.0000660367,0.000003374448,0.00001512679,0.00003215077,0.0000681137,0.0002977702,0.0003260717,0.998296,0.00001334354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000364159,0.0002029873,0.001218785,0.0003463444,0.0001518586,0.000102331,0.6994212,0.04423267,0.2539595],"genre_scores_gemma":[0.002299689,0.0004934844,0.002443924,0.0003218498,0.0000936446,0.0002146777,0.5629659,0.04611902,0.3850479],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1500335,"threshold_uncertainty_score":0.2140046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007911168657110496,"score_gpt":0.1969415160719781,"score_spread":0.1890303474148676,"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."}}