{"id":"W3045154762","doi":"10.37445/adiu.2020.02.27","title":"OLD RUS HOARD OF 2017 FROM THE OUTSKIRTS OF PEREIASLAV","year":2020,"lang":"en","type":"article","venue":"Archaeology and Early History of Ukraine","topic":"Byzantine Studies and History","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hoard; Adornment; Archaeology; Ancient history; History; Quarter (Canadian coin); Period (music); Geography; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0003407126,0.0003590923,0.0004591457,0.001269588,0.003657409,0.001711044,0.0005467359,0.0004798723,0.01014063],"category_scores_gemma":[0.0007451124,0.0003522687,0.0002185365,0.001078294,0.001972599,0.0009364506,0.002228817,0.001093797,0.001586013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001803694,"about_ca_system_score_gemma":0.001247702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01651268,"about_ca_topic_score_gemma":0.05576016,"domain_scores_codex":[0.999488,0.00009154749,0.00002231499,0.0001278144,0.0001186946,0.0001516972],"domain_scores_gemma":[0.9998261,0.00002749451,0.00004921576,0.00002674391,0.00002674592,0.00004376706],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001147004,0.0001734886,0.1164298,0.002160423,0.0001582674,0.02814207,0.2930012,0.0006933173,0.01573708,0.08724962,0.07903358,0.3760742],"study_design_scores_gemma":[0.000008854292,0.0001688721,0.1239713,0.0004762893,0.00002901171,0.003896569,0.04234416,0.00008261263,0.00177657,0.001282852,0.8259295,0.00003350545],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8219575,0.01687426,0.001338501,0.001968905,0.001098855,0.00006462245,0.001463778,0.0002263224,0.1550072],"genre_scores_gemma":[0.9311659,0.002311605,0.0004667617,0.0001756943,0.0001381499,0.00001548147,0.0005704275,0.000165411,0.06499048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01651268,"threshold_uncertainty_score":0.0339238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04615787753106414,"score_gpt":0.1924085893660142,"score_spread":0.1462507118349501,"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."}}