{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.002257719,0.003006235,0.003682084,0.001405783,0.003305615,0.0007853323,0.002717348,0.00131785,0.03198872],"category_scores_gemma":[0.0005497132,0.002796079,0.001880777,0.0009171951,0.004253735,0.001786922,0.00278851,0.003350614,0.03702445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007205387,"about_ca_system_score_gemma":0.0009412768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009976737,"about_ca_topic_score_gemma":0.002033287,"domain_scores_codex":[0.9846327,0.0007765588,0.003074918,0.003668953,0.002625447,0.005221421],"domain_scores_gemma":[0.9914578,0.00135999,0.001474169,0.003022261,0.001246953,0.001438871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002656765,0.003644027,0.05582275,0.004154548,0.005749521,0.001049021,0.2193924,0.0002802264,0.005176094,0.4050805,0.258885,0.03810918],"study_design_scores_gemma":[0.00559308,0.002110188,0.006748,0.001368856,0.001209809,0.0001243966,0.03416009,0.001080381,0.001042138,0.007344028,0.9351342,0.004084864],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6101799,0.02627035,0.0001750725,0.006569571,0.02305603,0.003867543,0.0009391466,0.001264618,0.3276778],"genre_scores_gemma":[0.7304553,0.004147305,0.0003427121,0.00423916,0.006481551,0.000245348,0.0003813571,0.0004658437,0.2532415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6762491,"threshold_uncertainty_score":0.9999787,"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."}}