{"id":"W7106118262","doi":"10.25681/iaras.0130-2620.279.228-244","title":"АРХЕОБОТАНИЧЕСКАЯ КОЛЛЕКЦИЯ СЕЛИЩА ГНЕЗДИЛОВО 6 И ЕЕ МЕСТО В КОНТЕКСТЕ СИНХРОННЫХ ПОСЕЛЕНИЙ","year":2025,"lang":"ru","type":"article","venue":"Краткие сообщения Института археологии (КСИА)","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Domestication; Population; Settlement (finance); Human settlement; Similarity (geometry); Quarter (Canadian coin)","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.002198759,0.002226784,0.002353353,0.0009794483,0.003502792,0.0008932578,0.002383719,0.001072107,0.02363018],"category_scores_gemma":[0.0004927436,0.002138614,0.001088805,0.002546262,0.001389343,0.001303184,0.001289285,0.002743626,0.0106596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156734,"about_ca_system_score_gemma":0.0004704956,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252613,"about_ca_topic_score_gemma":0.006583655,"domain_scores_codex":[0.9882652,0.00100985,0.00248688,0.002705177,0.001912947,0.003619987],"domain_scores_gemma":[0.994383,0.001281514,0.0007684532,0.002281793,0.0001664327,0.001118777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008477165,0.001205969,0.4139935,0.001674637,0.002036335,0.000597833,0.003183297,0.00291041,0.001470899,0.001659467,0.1720203,0.3983996],"study_design_scores_gemma":[0.003170988,0.0009561614,0.3517146,0.0009119438,0.0009437606,0.0001021365,0.00607748,0.004861779,0.001678548,0.00415703,0.6224138,0.003011703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3902178,0.02911506,0.0005708841,0.006397364,0.008806047,0.002293089,0.001124611,0.0007525573,0.5607225],"genre_scores_gemma":[0.8942591,0.00755909,0.0007316544,0.005161541,0.001557693,0.00007218187,0.0007437034,0.0001158764,0.08979917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5040413,"threshold_uncertainty_score":0.9995571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006321668774018408,"score_gpt":0.1828764098484331,"score_spread":0.1765547410744147,"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."}}