{"id":"W4412083413","doi":"10.1371/journal.pone.0326414","title":"Mass spectrometry measurements of mercury isotope ratios support geochemical sourcing of archaeological cinnabar in the Andean region","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Cinnabar; Mercury (programming language); Geology; Isotope; Inductively coupled plasma mass spectrometry; Geochemistry; Mass spectrometry; Mineralogy; Environmental chemistry; Chemistry; Archaeology; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004342,0.0003393068,0.0001936194,0.002130145,0.001065648,0.0007263405,0.0003766044,0.0003886283,0.001543852],"category_scores_gemma":[0.001403513,0.0001688474,0.0001709088,0.001873328,0.0008017034,0.0003920493,0.0007375692,0.0002543411,0.0001883336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006843256,"about_ca_system_score_gemma":0.000563903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03227893,"about_ca_topic_score_gemma":0.122418,"domain_scores_codex":[0.9996825,0.0000393367,0.00001721103,0.000119373,0.0001014687,0.00004015925],"domain_scores_gemma":[0.999488,0.00007693127,0.0001926848,0.00005071954,0.0001695211,0.00002209982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002044293,0.0000358374,0.8176787,0.0001889863,0.0001316458,0.0005044254,0.005864498,0.0002174547,0.129643,0.0004336787,0.0001682119,0.0449292],"study_design_scores_gemma":[0.000002557229,0.0000411485,0.9836414,0.00002305408,0.00003352561,0.0003604208,0.002496768,0.0001530824,0.01122613,0.0001708482,0.001841535,0.000009518891],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939343,0.000285281,0.0009742064,0.0000768768,0.000005103057,0.00001587158,0.0002171908,0.00002898163,0.004462169],"genre_scores_gemma":[0.9972504,0.0001832767,0.00179798,0.00002458083,0.000003552217,0.000006756254,0.0000898591,0.000007404494,0.0006361839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03227893,"threshold_uncertainty_score":0.0641821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06974150601695639,"score_gpt":0.2647141487704861,"score_spread":0.1949726427535297,"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."}}