{"id":"W6980004246","doi":"","title":"ARCHIVEIT-2402-QUARTERLY-ZIAQNG-20111017210958-00000-crawling113.us.archive.org-6682.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":[0.0007430582,0.001504244,0.0009271972,0.006176533,0.001463396,0.005079663,0.001398728,0.001221896,0.9037303],"category_scores_gemma":[0.006721658,0.001164356,0.0007996666,0.01033969,0.0004396365,0.002363815,0.002217884,0.001359277,0.938085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214704,"about_ca_system_score_gemma":0.001953118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04131075,"about_ca_topic_score_gemma":0.03680163,"domain_scores_codex":[0.9993587,0.00004945655,0.00004478342,0.0001063801,0.0003222562,0.000118383],"domain_scores_gemma":[0.9958384,0.0005471368,0.0002222758,0.0008769936,0.001964071,0.0005510973],"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":[0.00001420194,0.00001101889,0.0001404048,0.00006180481,0.000001973108,0.000004674538,0.00001382862,0.00002058739,0.00003968256,0.0003654064,0.9847707,0.0145556],"study_design_scores_gemma":[0.00001879068,0.000005149908,0.001442957,0.00006006208,0.000002419611,0.000010666,0.00002211323,0.00004430761,0.000206496,0.0002678291,0.9979089,0.0000103037],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0004828879,0.0002292426,0.0008464914,0.0005880308,0.0002738927,0.00011667,0.5447536,0.01857879,0.4341305],"genre_scores_gemma":[0.002452796,0.0005867946,0.001322015,0.0003573834,0.0001612433,0.0001985469,0.3031922,0.01369384,0.6780352],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09626973,"threshold_uncertainty_score":0.137317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008071023879894607,"score_gpt":0.1894570336623387,"score_spread":0.1813860097824441,"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."}}