{"id":"W7133494603","doi":"10.52967/3007-6528.2023.2.129.134","title":"Археологические исследования средневекового городища Бытыгай","year":2023,"lang":"","type":"article","venue":"Маргулановские чтения","topic":"Ancient and Medieval Archaeology Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Excavation; Brick; Settlement (finance); Period (music); 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":[0.0004903462,0.0001896577,0.0002179302,0.001558701,0.001250986,0.00228853,0.0002118179,0.000296716,0.008930633],"category_scores_gemma":[0.0009493061,0.0002920478,0.0001762761,0.002086414,0.001357713,0.0007008016,0.0007485004,0.000549476,0.002252051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014033,"about_ca_system_score_gemma":0.001826747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005755947,"about_ca_topic_score_gemma":0.01294586,"domain_scores_codex":[0.999559,0.00009009994,0.00002911096,0.00009389878,0.0001594939,0.00006833333],"domain_scores_gemma":[0.9995659,0.0001122816,0.00008156039,0.00007343128,0.0001244424,0.00004248563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003952291,0.0001214752,0.03276247,0.0006970063,0.00006156199,0.003333243,0.02770791,0.001819363,0.04701037,0.381745,0.01001561,0.4943308],"study_design_scores_gemma":[0.00003653669,0.0001422937,0.118621,0.0002823217,0.00007549657,0.004377874,0.01129086,0.0008956436,0.01897554,0.05526833,0.7899255,0.0001086366],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5606127,0.02704423,0.02938716,0.001952542,0.000455143,0.0001258543,0.00199622,0.000136238,0.37829],"genre_scores_gemma":[0.9312599,0.01055219,0.01540752,0.00006292618,0.00008921178,0.00009869777,0.0006048013,0.00005184027,0.04187277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008930633,"threshold_uncertainty_score":0.02987593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833711603084572,"score_gpt":0.2705319997604882,"score_spread":0.2021948837296425,"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."}}