{"id":"W7007954938","doi":"","title":"ARCHIVEIT-2402-DAILY-MWYSMG-20120415052133-00015-crawling207.us.archive.org-6682.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":[0.000745176,0.002215129,0.001280044,0.006674945,0.001451625,0.005027498,0.002054535,0.001381419,0.8139529],"category_scores_gemma":[0.00664442,0.001588943,0.0009401539,0.01120258,0.0004818469,0.003011471,0.002900796,0.001395325,0.9051315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001886299,"about_ca_system_score_gemma":0.001803401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05323705,"about_ca_topic_score_gemma":0.05191601,"domain_scores_codex":[0.9993432,0.00005332392,0.00004380378,0.0001243869,0.000312687,0.0001224897],"domain_scores_gemma":[0.9961194,0.0005517746,0.0001580624,0.0009757607,0.001704727,0.0004902898],"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":[0.00001832427,0.000007974868,0.0001228243,0.00008034622,0.000003056731,0.000005874296,0.00002509115,0.00002967641,0.00004947892,0.0002622397,0.9904722,0.008922962],"study_design_scores_gemma":[0.00002388453,0.000004758568,0.001038176,0.00006575463,0.000003797807,0.00001653739,0.00003123849,0.00009210675,0.0003648968,0.0003899467,0.9979538,0.00001500321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003736906,0.0001693793,0.001209059,0.0002716775,0.0001261525,0.00007755993,0.7885185,0.04557424,0.1636798],"genre_scores_gemma":[0.002320389,0.0004203009,0.002390753,0.0002700106,0.00008316616,0.0001904697,0.6739609,0.05106051,0.2693036],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1860471,"threshold_uncertainty_score":0.2653736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007850376710954465,"score_gpt":0.1969723136523552,"score_spread":0.1891219369414008,"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."}}