{"id":"W6998812203","doi":"","title":"ARCHIVEIT-2402-WEEKLY-MLNBSP-20111229161329-00000-crawling208.us.archive.org-6681.warc.gz","year":2011,"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":[0.0008649094,0.00196253,0.00129909,0.006977917,0.001782639,0.005633505,0.002206026,0.001573171,0.8704292],"category_scores_gemma":[0.007291887,0.001642354,0.0009368705,0.01192662,0.0005050944,0.003232303,0.003356095,0.00148594,0.9350402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002314437,"about_ca_system_score_gemma":0.00205634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05053304,"about_ca_topic_score_gemma":0.05470268,"domain_scores_codex":[0.9992657,0.00006570909,0.00004907694,0.0001358334,0.0003426856,0.0001409474],"domain_scores_gemma":[0.9957049,0.0005954023,0.0001699881,0.001094138,0.001838794,0.0005967509],"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":[0.00001257561,0.000007368393,0.00007989567,0.00006086622,0.000002018252,0.00000425406,0.00001825191,0.00002125653,0.00003523443,0.0002363159,0.991116,0.008405934],"study_design_scores_gemma":[0.00001746212,0.000003622498,0.0006670999,0.00005714372,0.000002447214,0.0000119636,0.00002679473,0.00006421142,0.000226768,0.0003123313,0.9985995,0.00001069313],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003043948,0.0001630678,0.001144897,0.0003731802,0.0001577934,0.00009068884,0.7243142,0.03670053,0.2367513],"genre_scores_gemma":[0.001817245,0.000403355,0.002143285,0.0003061183,0.00008107855,0.000206614,0.5562795,0.03627309,0.4024897],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1295708,"threshold_uncertainty_score":0.184817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009384467258060532,"score_gpt":0.1917002018813051,"score_spread":0.1823157346232446,"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."}}