{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001076972,0.0001080126,0.0003900156,0.00003650902,0.00008591963,8.237889e-7,0.0001773861,0.00004263283,0.0007692912],"category_scores_gemma":[0.00005634451,0.00008052171,0.0001001281,0.00001202509,0.004093946,0.00004201631,0.0001328699,0.000135439,0.000006997856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005001506,"about_ca_system_score_gemma":0.00004215658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00590102,"about_ca_topic_score_gemma":0.001382303,"domain_scores_codex":[0.9992718,0.00005279718,0.0002922412,0.0001597614,0.00009836889,0.0001250239],"domain_scores_gemma":[0.9993049,0.000157919,0.0002316575,0.0001774012,0.00008740202,0.00004073418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002301411,0.00004827502,0.007136462,0.0000937539,0.0001911419,0.000007402591,0.7803695,0.000001310259,0.000481133,0.1746887,0.03546682,0.00128536],"study_design_scores_gemma":[0.0004532279,0.000410515,0.01405485,0.00002111093,0.00006638484,9.102172e-7,0.002356163,0.000009534676,0.00002363464,0.0002701302,0.9822468,0.00008669722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8825402,0.04123062,0.00001033028,0.005557278,0.0007662207,0.0001364828,0.0001132762,0.00002052953,0.06962504],"genre_scores_gemma":[0.9952334,0.0005092107,0.00007887521,0.0005533581,0.0002540887,0.000002918897,0.000004958877,0.000008907363,0.003354354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.94678,"threshold_uncertainty_score":0.9986163,"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."}}