{"id":"W3211729120","doi":"10.25681/iaras.0130-2620.257.146-154","title":"НОВЫЕ ДРЕВНЕИРАНСКИЕ ИМЕНА ИЗ РАННЕЙ ФАНАГОРИИ","year":2019,"lang":"ru","type":"article","venue":"Краткие сообщения Института археологии (КСИА)","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parallels; Quarter (Canadian coin); History; Population; Ancient history; Toponymy; Ethnic group; Classics; Genealogy; Geography; Archaeology; Demography; Anthropology; Sociology","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00474865,0.002434527,0.002862609,0.00105947,0.00223685,0.001530473,0.00458308,0.002808419,0.02339363],"category_scores_gemma":[0.0008442889,0.002667615,0.001601721,0.004885946,0.001822747,0.002454441,0.001530131,0.003566636,0.04534313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001687702,"about_ca_system_score_gemma":0.001560708,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002604866,"about_ca_topic_score_gemma":0.002375876,"domain_scores_codex":[0.9808084,0.002232399,0.002743063,0.003938357,0.004321443,0.005956355],"domain_scores_gemma":[0.9895282,0.001787172,0.001731117,0.003794226,0.0008932374,0.002266053],"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":[0.001432487,0.003649872,0.1094442,0.00239494,0.002704633,0.001426549,0.1208131,0.001459045,0.01150829,0.08404801,0.4965303,0.1645885],"study_design_scores_gemma":[0.005119574,0.001333424,0.01364276,0.001915326,0.0008129679,0.0001158617,0.02606013,0.003367649,0.001204477,0.005189755,0.9353738,0.00586423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3730484,0.0152867,0.0005386133,0.01145931,0.02771181,0.006210122,0.0004089421,0.002095815,0.5632403],"genre_scores_gemma":[0.8547148,0.004280099,0.000981068,0.003995941,0.009696655,0.0001786026,0.0001876999,0.0006180109,0.1253471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4816664,"threshold_uncertainty_score":0.9995061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611432578670194,"score_gpt":0.2886244410139298,"score_spread":0.2725101152272279,"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."}}