{"id":"W6998710423","doi":"","title":"ARCHIVEIT-2402-MONTHLY-SENCIT-20120214180229-00001-crawling114.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":[0.0008039951,0.001881592,0.001233096,0.006818269,0.001725424,0.005273241,0.001913651,0.001320359,0.8807852],"category_scores_gemma":[0.006657611,0.00139958,0.0008705877,0.01279484,0.000455922,0.00286214,0.0027724,0.001325161,0.9355729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001935047,"about_ca_system_score_gemma":0.001831067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04312378,"about_ca_topic_score_gemma":0.05140303,"domain_scores_codex":[0.9993622,0.0000548984,0.00004138858,0.0001118389,0.000308999,0.0001207648],"domain_scores_gemma":[0.995602,0.0005477301,0.0001926196,0.000974963,0.002023065,0.0006596263],"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":[0.00001305157,0.000008149568,0.00009780158,0.0000564877,0.000002001357,0.000004193651,0.00001588739,0.00001771077,0.00003437785,0.0002517483,0.990026,0.00947245],"study_design_scores_gemma":[0.00001833915,0.000003905162,0.0009213218,0.00005482739,0.000002898353,0.00001327616,0.00002431079,0.0000589908,0.0002532793,0.0002919759,0.9983455,0.00001145599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0003832786,0.000178759,0.001045147,0.0004026768,0.0001690653,0.00009416203,0.6115438,0.03412338,0.3520598],"genre_scores_gemma":[0.002308397,0.0004510054,0.001947607,0.0003528569,0.0001139202,0.0002056597,0.4296193,0.03606194,0.5289394],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1192148,"threshold_uncertainty_score":0.1700453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007586803849199924,"score_gpt":0.194717496935612,"score_spread":0.187130693086412,"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."}}