{"id":"W4402897870","doi":"10.1016/j.gr.2024.09.004","title":"Porphyry-type mineral prospectivity mapping with imbalanced data via prior geological transfer learning","year":2024,"lang":"en","type":"article","venue":"Gondwana Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Prospectivity mapping; Geology; Mineral exploration; Geochemistry; Petrology; Mining engineering; Geomorphology","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":[0.000765184,0.0008209716,0.0005344628,0.001398259,0.0003656228,0.001053602,0.001719267,0.0008002921,0.002164944],"category_scores_gemma":[0.002691965,0.0003651502,0.0007568294,0.001332594,0.0006255309,0.002189156,0.002204733,0.001296297,0.0008919171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008712574,"about_ca_system_score_gemma":0.001364886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112415,"about_ca_topic_score_gemma":0.01610386,"domain_scores_codex":[0.9996595,0.00004612828,0.00001494556,0.0001208176,0.0001001311,0.00005849067],"domain_scores_gemma":[0.9992092,0.0002022304,0.0001076365,0.0002224422,0.0002054282,0.00005302732],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001897177,0.0002096665,0.01689822,0.0001959069,0.0001399121,0.0003045592,0.0002407594,0.5490284,0.01568416,0.004264898,0.004986057,0.4078577],"study_design_scores_gemma":[0.000007975554,0.0000237614,0.001902177,0.0000101706,0.00001289244,0.00003834956,0.00004532044,0.9860512,0.004098076,0.0062537,0.001544511,0.00001189962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1320309,0.000356119,0.8579785,0.0005325058,0.00007096155,0.0001090682,0.0008696452,0.004048616,0.004003561],"genre_scores_gemma":[0.8302917,0.0001679042,0.1635555,0.0001589482,0.00004698513,0.00009302905,0.002132176,0.0001964211,0.003357246],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0112415,"threshold_uncertainty_score":0.0223521,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09232264555595052,"score_gpt":0.3337546063241525,"score_spread":0.241431960768202,"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."}}