{"id":"W4416956837","doi":"10.1144/geochem2025-053","title":"Applications of machine vision and machine learning for deposit characterization at the Castelo de Sonhos paleoplacer gold deposit, Brazil","year":2025,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Golder Associates (Canada)","funders":"","keywords":"Machine vision; Scalability; Characterization (materials science); Drilling; Gold ore; Sedimentary depositional environment","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":[0.0007819463,0.0007477411,0.0003854864,0.002506156,0.0003618806,0.001130042,0.0005879026,0.0006463031,0.0006344407],"category_scores_gemma":[0.001563678,0.0002482616,0.000508265,0.001017233,0.0003210568,0.0005176224,0.0006096485,0.0004091698,0.0003659082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008117654,"about_ca_system_score_gemma":0.001134393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02430164,"about_ca_topic_score_gemma":0.02921848,"domain_scores_codex":[0.9995182,0.00007414291,0.00003382549,0.0001442323,0.000152753,0.00007685857],"domain_scores_gemma":[0.9994905,0.0001618405,0.00006255247,0.00004777475,0.0001976096,0.00003961852],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002048454,0.0002718554,0.0569415,0.000269587,0.0001606556,0.0003994976,0.0003509737,0.1790369,0.07350154,0.001401889,0.002364683,0.6850961],"study_design_scores_gemma":[0.000008548905,0.00002837797,0.02294194,0.00002133566,0.0000160931,0.00008195001,0.0001717706,0.9604266,0.01403564,0.001105734,0.001145224,0.00001676417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6707977,0.001286931,0.3162212,0.0007227203,0.00008731562,0.0001625362,0.001023657,0.003004935,0.00669304],"genre_scores_gemma":[0.8808007,0.0002211591,0.1174814,0.00005398447,0.00001610241,0.00003423349,0.000498461,0.0000578455,0.0008361881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02430164,"threshold_uncertainty_score":0.04832041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005044432578583046,"score_gpt":0.2090317345450362,"score_spread":0.2039873019664531,"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."}}