{"id":"W6997636011","doi":"","title":"З листування митрополита Іларіона (Огієнка) та Є. Онацького
\\n(From the Correspondence of Metropolitan Ilarion (Ohiienko) and Yevhen Onatskyi)","year":2016,"lang":"uk","type":"article","venue":"Digital Repository of Ostroh Academy (Ostroh Academy)","topic":"Military, Security, and Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Ukrainian; Emigration; Period (music); State (computer science); Character (mathematics)","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":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.001270077,0.001021285,0.001477219,0.0003921516,0.001403188,0.0002681121,0.002192711,0.001266932,0.0002023812],"category_scores_gemma":[0.002745253,0.0007224951,0.0006627543,0.0009947993,0.006410455,0.001864403,0.0008030269,0.00153386,0.0001678984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006633662,"about_ca_system_score_gemma":0.0006847389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001969528,"about_ca_topic_score_gemma":0.00008372183,"domain_scores_codex":[0.9909534,0.0008487927,0.002270243,0.001689257,0.002639186,0.00159915],"domain_scores_gemma":[0.9916464,0.004688217,0.001707314,0.0007207799,0.0003999779,0.0008372979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003891079,0.002037466,0.5403949,0.0005560705,0.002812114,0.00003823885,0.04757727,0.000007979442,0.02137293,0.197551,0.1402696,0.0434914],"study_design_scores_gemma":[0.002976433,0.001539235,0.5872587,0.00235889,0.0007510912,0.00005508538,0.05222908,0.00001849256,0.01962254,0.02550651,0.3054923,0.002191676],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050424,0.02461837,0.00005070178,0.02181979,0.002299322,0.001268984,0.001669694,0.0001341719,0.04309658],"genre_scores_gemma":[0.9800453,0.004199977,0.00009062695,0.0007209649,0.002039333,0.00005554248,0.00001761665,0.00008466622,0.01274595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1720444,"threshold_uncertainty_score":0.9998968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02829446017948328,"score_gpt":0.2994410813020785,"score_spread":0.2711466211225952,"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."}}