{"id":"W2616722157","doi":"10.1139/cjc-2017-0062","title":"The application of XANES for the examination of silver, gold, mercury, and sulfur on the daguerreotype surface","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Chemistry","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canadian Light Source","keywords":"Mercury (programming language); XANES; Chemistry; Sulfur; Alloy; Gold rush; Atomic absorption spectroscopy; Analytical Chemistry (journal); Spectroscopy; Mineralogy; Metallurgy; Environmental chemistry; Materials science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004209017,0.00005587602,0.0001065008,0.000006666921,0.0004920425,0.0001599349,0.000318689,0.00002199305,0.00008784049],"category_scores_gemma":[0.0001713342,0.00002602958,0.00005874973,0.00000868826,0.0003600961,0.00006121619,0.000008553357,0.00005471719,3.686765e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001976382,"about_ca_system_score_gemma":0.0000650324,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003551664,"about_ca_topic_score_gemma":0.01833851,"domain_scores_codex":[0.9995853,0.00001509633,0.00019238,0.00004539381,0.00008712372,0.0000746776],"domain_scores_gemma":[0.9988294,0.0001897306,0.0004569261,0.000217908,0.0002628646,0.00004321808],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002365866,0.0000628214,0.00144635,0.0007212019,0.001059912,0.000008002201,0.04219709,0.0002490389,0.7858176,0.07537255,0.01826218,0.07456664],"study_design_scores_gemma":[0.000930931,0.0001771181,0.01645865,0.0002994475,0.000592507,0.00003688583,0.04257947,0.0009138326,0.503127,0.00323791,0.4312549,0.0003913566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939769,0.0006418021,0.000003216319,0.002340985,0.00009722666,0.00007832889,0.0000449299,7.261298e-7,0.00281589],"genre_scores_gemma":[0.9980702,0.00005648118,0.00000325768,0.00001664926,0.0001955282,0.0000022705,0.0000021279,0.000004698043,0.001648726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4129927,"threshold_uncertainty_score":0.9995742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03082442204829925,"score_gpt":0.2288108377384555,"score_spread":0.1979864156901562,"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."}}