{"id":"W4401006392","doi":"10.1093/mam/ozae044.062","title":"Challenges in Silver Conservation: Characterizing the Composition and Sources of Unusual Tarnish on Seleucid Silver Coins Using SEM-EDS","year":2024,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Ontario Museum; University of Toronto","funders":"","keywords":"Tarnish; Composition (language); Materials science; Metallurgy; Mineralogy; Nanotechnology; Chemistry; Art; Copper","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003462429,0.0002054752,0.0001648386,0.00122167,0.0004400367,0.0009324245,0.0002770369,0.0005108336,0.001053344],"category_scores_gemma":[0.0003459001,0.0001660725,0.0001153545,0.0003945483,0.0005633053,0.0006499487,0.0004381019,0.0004668841,0.0004885591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000214744,"about_ca_system_score_gemma":0.0001140684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000670417,"about_ca_topic_score_gemma":0.002377423,"domain_scores_codex":[0.9998422,0.00001218169,0.000007492695,0.00003679076,0.00007959888,0.00002164941],"domain_scores_gemma":[0.9997926,0.00003299243,0.00003542583,0.00001527458,0.000103528,0.00002016256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001276635,0.00004261757,0.01130642,0.0002107602,0.0000120203,0.0007094257,0.0004825261,0.0003849778,0.9606521,0.0005328703,0.0004933373,0.02504529],"study_design_scores_gemma":[0.00001073273,0.0004275609,0.0951196,0.0001689005,0.00004950921,0.004529662,0.004879599,0.01022537,0.8574927,0.001639911,0.02539751,0.00005895945],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9836512,0.001750053,0.009833438,0.0002626749,0.00005144556,0.0000323053,0.0001926847,0.00022881,0.003997352],"genre_scores_gemma":[0.9821472,0.00110216,0.01245207,0.0002037654,0.00002863061,0.00002341996,0.0002305451,0.0001129621,0.003699271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00122167,"threshold_uncertainty_score":0.003523767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05503008967697663,"score_gpt":0.269932595676191,"score_spread":0.2149025059992143,"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."}}