{"id":"W4405658169","doi":"10.1007/s11053-024-10432-3","title":"Mineral Prospectivity Mapping and Differential Metal Endowment Between Two Greenstone Belts in the Canadian Superior Craton","year":2024,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Laurentian University","funders":"Materials and Energy Research Center","keywords":"Prospectivity mapping; Endowment; Greenstone belt; Craton; Mineral resource classification; Geochemistry; Differential (mechanical device); Geology; Archean; Seismology; Political science; Engineering; Geomorphology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003144227,0.0002749748,0.0002732237,0.004061759,0.001547225,0.0009585566,0.0004925883,0.000227593,0.001585146],"category_scores_gemma":[0.0009930014,0.000225365,0.0002112654,0.003643239,0.001149122,0.0002642306,0.0009146577,0.0001643092,0.0001770646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01188958,"about_ca_system_score_gemma":0.007763345,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861199,"about_ca_topic_score_gemma":0.9967455,"domain_scores_codex":[0.9996694,0.00001313319,0.00001103849,0.00006476843,0.0001154336,0.0001261629],"domain_scores_gemma":[0.9993907,0.00004826611,0.00008407497,0.00002527554,0.0003334954,0.000118127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002171939,0.0000213807,0.9652337,0.00005546312,0.00006087837,0.0003142979,0.004486536,0.0008168233,0.007701368,0.000595766,0.0005319295,0.01996473],"study_design_scores_gemma":[0.000002375287,0.00000544932,0.9974753,0.000008484887,0.000004360604,0.0000210356,0.001397735,0.0002894333,0.0002015499,0.00002968317,0.0005602206,0.00000435012],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981905,0.00005261974,0.00007273591,0.00002572572,7.265632e-7,0.000009578903,0.0005089268,0.000005186864,0.001134096],"genre_scores_gemma":[0.9986211,0.00003461251,0.0002171514,0.000007262977,3.929943e-7,0.000003960361,0.0003735168,0.000002192971,0.0007398694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01388013,"threshold_uncertainty_score":0.08626544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04858385150211093,"score_gpt":0.3275086681700033,"score_spread":0.2789248166678924,"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."}}