{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002766032,0.000731889,0.0005592606,0.001721109,0.004224773,0.01049012,0.001219391,0.002510165,0.04102753],"category_scores_gemma":[0.006787183,0.0006277906,0.0008701838,0.001262827,0.007541893,0.006009694,0.003281574,0.00383416,0.0138744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004123912,"about_ca_system_score_gemma":0.005639157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007327692,"about_ca_topic_score_gemma":0.007118496,"domain_scores_codex":[0.995006,0.001447877,0.0002850768,0.0008515217,0.001874002,0.0005356243],"domain_scores_gemma":[0.9960461,0.001169845,0.0002981097,0.0005276167,0.001556625,0.0004016114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004884984,0.00003478439,0.0007451109,0.0001518014,0.00001563298,0.0003038574,0.004568244,0.0003025715,0.001309879,0.9462487,0.01168366,0.03458695],"study_design_scores_gemma":[0.00002722175,0.00005789793,0.002291162,0.000272595,0.00003394587,0.0006132443,0.00543507,0.0007840097,0.00266995,0.336144,0.6515964,0.0000745218],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0240948,0.006144702,0.06899805,0.01662896,0.001426756,0.0002000504,0.0006903593,0.0003909792,0.8814254],"genre_scores_gemma":[0.4690393,0.008628623,0.1136566,0.003351663,0.0009522152,0.0007084716,0.0009043275,0.0005801848,0.4021786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04102753,"threshold_uncertainty_score":0.1372508,"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."}}