{"id":"W3214000082","doi":"10.25681/iaras.0130-2620.257.207-215","title":"СРАВНИТЕЛЬНАЯ ХАРАКТЕРИСТИКА КЕРАМИЧЕСКИХ НАБОРОВ РАННЕСРЕДНЕВЕКОВЫХ ПОСЕЛЕНИЙ ГОРОДОК 1 И ЮРЬЕВСКАЯ ГОРКА","year":2019,"lang":"ru","type":"article","venue":"Краткие сообщения Института археологии (КСИА)","topic":"Ancient and Medieval Archaeology Studies","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human settlement; Quarter (Canadian coin); Population; Geography; Ceramic; Archaeology; Similarity (geometry); Genealogy; Demography; History; Sociology; Computer science; Image (mathematics); Artificial intelligence; Materials science","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":[0.002417264,0.0007814599,0.0005538574,0.002462639,0.00386871,0.009763566,0.001079412,0.002067594,0.04979773],"category_scores_gemma":[0.008123587,0.0007861864,0.000810811,0.002180245,0.005537759,0.005169276,0.002939472,0.003119328,0.0185322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003562289,"about_ca_system_score_gemma":0.006322792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005298255,"about_ca_topic_score_gemma":0.005677419,"domain_scores_codex":[0.9946566,0.001371857,0.0003163946,0.0009611481,0.002211772,0.0004823593],"domain_scores_gemma":[0.9950422,0.001340463,0.0005815073,0.0007233429,0.001901317,0.0004111477],"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":[0.00008389434,0.000059815,0.001800675,0.00038674,0.00003179912,0.0004236063,0.003712937,0.0005690595,0.003794792,0.8918473,0.0170652,0.08022412],"study_design_scores_gemma":[0.00003182754,0.00007033076,0.003623751,0.0003455142,0.00004986788,0.0009229986,0.003464428,0.0008582171,0.004973614,0.3021787,0.6833811,0.0000996759],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02284715,0.008987176,0.08806811,0.01138765,0.001856641,0.0002959454,0.001080255,0.0005171244,0.86496],"genre_scores_gemma":[0.4887419,0.01604332,0.1626365,0.002415445,0.001397148,0.001150261,0.001333059,0.0007201582,0.3255622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04979773,"threshold_uncertainty_score":0.16659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02667525042551124,"score_gpt":0.2328410030931446,"score_spread":0.2061657526676334,"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."}}