{"id":"W7052403306","doi":"","title":"Recognizing alteration and mineralizing assemblages using petrophysical properties : a study of physical properties in a Cu-Au system at Upper Beaver, Canada","year":2024,"lang":"en","type":"other","venue":"","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Igneous rock; Silicic; Theria; Quartz","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001833171,0.0003784064,0.0004811108,0.001610836,0.002739948,0.001384439,0.0008034448,0.0004298115,0.0008368559],"category_scores_gemma":[0.0005345255,0.0003059991,0.0002749232,0.002309144,0.001018803,0.0003413684,0.0006297205,0.000313461,0.000152324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009496911,"about_ca_system_score_gemma":0.008771403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9834728,"about_ca_topic_score_gemma":0.9943732,"domain_scores_codex":[0.9996592,0.00001517306,0.00001042611,0.00007721717,0.000116971,0.0001210544],"domain_scores_gemma":[0.999642,0.00002400829,0.00003310298,0.00001185272,0.0001985683,0.00009043775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001749168,0.0001086311,0.9536735,0.00005008496,0.00007402184,0.000961403,0.004344508,0.001775573,0.02294211,0.0002727861,0.000357713,0.01526469],"study_design_scores_gemma":[0.000006104918,0.00002695559,0.9910771,0.000008146169,0.00002104485,0.0001058974,0.003342758,0.003045904,0.001372418,0.00003321085,0.0009472759,0.00001311835],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989859,0.00003197515,0.000137438,0.00002083508,7.329928e-7,0.00001736821,0.0001632236,0.000007968343,0.0006345496],"genre_scores_gemma":[0.9984192,0.00005021175,0.0003865756,0.00001465366,9.151885e-7,0.000006888814,0.0001852286,0.000006116039,0.0009302326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01652718,"threshold_uncertainty_score":0.06890523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02282456775407251,"score_gpt":0.2132160914513619,"score_spread":0.1903915236972893,"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."}}