{"id":"W4412644813","doi":"10.18287/2542-0445-2025-31-2-157-166","title":"Substances of religious semantics in -ets in Russian of the XVIII – first quarter of the XIX centuries (on the material of the civil seal dictionaries)","year":2025,"lang":"en","type":"article","venue":"Vestnik of Samara University History pedagogics philology","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Seal (emblem); Semantics (computer science); History; Art; Ancient history; Philosophy; Archaeology; Computer science; Programming language","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":[0.0003102009,0.0001812155,0.0001697722,0.001302772,0.0006244741,0.001088175,0.0001047897,0.0001069563,0.00195579],"category_scores_gemma":[0.0005432529,0.0001316894,0.0001348617,0.001400085,0.001004223,0.001067139,0.000645433,0.0003140359,0.0003653188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008386077,"about_ca_system_score_gemma":0.0005469277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003435567,"about_ca_topic_score_gemma":0.005401753,"domain_scores_codex":[0.9997368,0.00007426988,0.00006302555,0.0000561841,0.00005100188,0.00001858909],"domain_scores_gemma":[0.9997517,0.0001002629,0.00005977332,0.00003577591,0.00004250982,0.00000988869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004185277,0.00005915499,0.09811166,0.002343712,0.0001427028,0.00201965,0.1588673,0.0009780851,0.04616183,0.3343034,0.007465205,0.3491287],"study_design_scores_gemma":[0.00002345124,0.0002908532,0.3388274,0.0005573903,0.0001558162,0.003855678,0.04557625,0.0009995855,0.01246055,0.01446936,0.5827261,0.00005764298],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358229,0.00395365,0.004418116,0.0003621692,0.0002098589,0.00002671891,0.001181286,0.00006405793,0.05396133],"genre_scores_gemma":[0.9916984,0.001568674,0.001591262,0.00002469558,0.00002444067,0.000007270848,0.0007257159,0.00003443283,0.00432503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003435567,"threshold_uncertainty_score":0.006831169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373497836472131,"score_gpt":0.2501434095486132,"score_spread":0.2264084311838919,"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."}}