{"id":"W6989329291","doi":"","title":"ARCHIVEIT-2402-WEEKLY-SRNFER-20120105161343-00000-crawling205.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":[0.0008471701,0.002136841,0.001349623,0.007248675,0.001660856,0.005223833,0.002190954,0.001528296,0.8241414],"category_scores_gemma":[0.007580297,0.001636366,0.0009760472,0.0115936,0.0004934472,0.003201966,0.003186357,0.001391554,0.9140509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934132,"about_ca_system_score_gemma":0.001856994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05036685,"about_ca_topic_score_gemma":0.05631715,"domain_scores_codex":[0.9992861,0.00006137745,0.0000477746,0.0001454363,0.000324884,0.0001345044],"domain_scores_gemma":[0.9960443,0.0005634956,0.0001571165,0.00104343,0.001669287,0.0005223957],"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":[0.00001448117,0.000007532769,0.00009297539,0.00007604549,0.000002679859,0.000004924574,0.00002108447,0.00002263663,0.00004149687,0.0002319069,0.9915196,0.00796466],"study_design_scores_gemma":[0.00002379313,0.000004157257,0.0008108614,0.00006637772,0.000003373676,0.00001460122,0.00002877475,0.00007826646,0.0002825993,0.0003699462,0.9983045,0.00001268376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0002995809,0.0001611141,0.001140954,0.0002879957,0.0001340702,0.00008533544,0.7931475,0.04160479,0.1631387],"genre_scores_gemma":[0.001789257,0.0004098337,0.00255041,0.0002674414,0.00007802305,0.0002117035,0.6829778,0.04245161,0.2692639],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1758586,"threshold_uncertainty_score":0.2508409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008185436456905284,"score_gpt":0.197794865070608,"score_spread":0.1896094286137028,"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."}}