{"id":"W4416768995","doi":"10.1016/j.gexplo.2025.107934","title":"Hydrothermal geochemical signatures in zircon as a pathfinder for IOCG mineralization: An example from the Carajás Mineral Province (Brazil)","year":2025,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Zircon; Metasomatism; Iron oxide copper gold ore deposits; Archean; Hydrothermal circulation; Mineral; Geochronology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003953545,0.0001966338,0.0003601384,0.00008810272,0.00009057402,0.00008938837,0.0003948438,0.0002053008,0.001011312],"category_scores_gemma":[0.000356774,0.0001222577,0.0001867565,0.0003721921,0.0001153943,0.0005149887,0.00002211691,0.0003516269,0.000007552647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001762327,"about_ca_system_score_gemma":0.0001345599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005178075,"about_ca_topic_score_gemma":0.007315104,"domain_scores_codex":[0.9982836,0.0001251819,0.0006577981,0.0003078002,0.0003405013,0.0002851764],"domain_scores_gemma":[0.9986609,0.0005440798,0.0002612979,0.0001897216,0.0002182069,0.0001258164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004827296,0.00101526,0.2046921,0.00009941964,0.0003825039,0.00009581882,0.002898131,0.06660899,0.6727979,0.003315756,0.02053594,0.02273089],"study_design_scores_gemma":[0.007483818,0.001335105,0.07698029,0.0003154936,0.0004979472,0.00003291318,0.002125256,0.1847997,0.2476315,0.4550081,0.02252737,0.001262425],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908375,0.0008395289,0.002917061,0.004451824,0.0001400967,0.0002512147,0.00003270622,0.00001384129,0.0005162209],"genre_scores_gemma":[0.9955359,0.00003561671,0.001624212,0.001795637,0.000441149,0.000006572119,0.0004359187,0.000003516565,0.0001215536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4516924,"threshold_uncertainty_score":0.9999019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02184935859464221,"score_gpt":0.2414330083377886,"score_spread":0.2195836497431464,"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."}}