{"id":"W3215646912","doi":"","title":"\"ВЕДОМОСТЬ РЕДКОСТЯМ, ОТДАННЫМ ИЗ МУЗЕУМА БЫВШАГО ГОСУДАРСТВЕННАГО АДМИРАЛТЕЙСКАГО ДЕПАРТАМЕНТА В ИМПЕРАТОРСКУЮ АКАДЕМИЮ НАУК\" (ХАРАКТЕРИСТИКА, ДАТИРОВКА, СОСТАВ)","year":2009,"lang":"ru","type":"article","venue":"Этнографическое обозрение","topic":"Maritime and Coastal Archaeology","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ethnography; Quarter (Canadian coin); Register (sociolinguistics); History; Library science; Archaeology; Computer science; Linguistics; Philosophy","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","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.001710362,0.003073517,0.003373621,0.001385959,0.003271524,0.001562056,0.00324146,0.00157851,0.0475258],"category_scores_gemma":[0.0003971118,0.00310839,0.001948793,0.0009568806,0.003118509,0.001858287,0.001549493,0.003400946,0.01274232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005111874,"about_ca_system_score_gemma":0.0009011399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004319506,"about_ca_topic_score_gemma":0.007060548,"domain_scores_codex":[0.9845964,0.001152558,0.003374678,0.003405434,0.002266314,0.005204588],"domain_scores_gemma":[0.9915211,0.0008380581,0.0012945,0.00346728,0.001043525,0.001835549],"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":[0.001263068,0.003497019,0.001753766,0.0007436615,0.001120207,0.001742463,0.02812691,0.00008557177,0.00170445,0.543818,0.2403476,0.1757973],"study_design_scores_gemma":[0.004217557,0.004001843,0.005830325,0.0007447654,0.0008446977,0.0003292405,0.004432567,0.0006004581,0.001279155,0.0480056,0.9256917,0.00402214],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1666825,0.01445686,0.0005285472,0.03186731,0.01076515,0.003751104,0.002594066,0.002373704,0.7669808],"genre_scores_gemma":[0.7480749,0.001714756,0.0008088333,0.01391867,0.008936008,0.0001820444,0.0009237331,0.0004345155,0.2250065],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.685344,"threshold_uncertainty_score":0.9997177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01536049966004313,"score_gpt":0.2147687118251153,"score_spread":0.1994082121650722,"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."}}