{"id":"W4308285012","doi":"10.1007/s11053-022-10133-9","title":"Predictive Modeling of Prospectivity for VHMS Mineral Deposits, Northeastern Bathurst Mining Camp, NB, Canada, Using an Ensemble Regularization Technique","year":2022,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; Government of New Brunswick; University of New Brunswick","funders":"","keywords":"Prospectivity mapping; Mineral exploration; Geology; Mining engineering; Geochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001674217,0.0001391491,0.0002027206,0.0001694574,0.0009073709,0.000082912,0.000809491,0.00007888392,0.000004293576],"category_scores_gemma":[0.0004627505,0.0001365005,0.00005272583,0.0007695527,0.00006564747,0.000250964,0.0007501545,0.0005845262,6.46827e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005044925,"about_ca_system_score_gemma":0.0006574812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03968356,"about_ca_topic_score_gemma":0.03232526,"domain_scores_codex":[0.9971325,0.0003474442,0.0002689367,0.000559591,0.001105128,0.0005863382],"domain_scores_gemma":[0.9983668,0.0002212112,0.0001191414,0.0004499218,0.0007296676,0.0001133057],"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":[0.0003420588,0.0001484556,0.006022831,0.000209472,0.00004620277,0.00004631222,0.004702482,0.8084046,0.1760814,0.000667642,0.0001673135,0.003161188],"study_design_scores_gemma":[0.0002214135,0.0002110968,0.0003679643,0.00003591491,0.000004059851,0.00004727229,0.0007390394,0.9746662,0.02225446,0.0008304522,0.000478591,0.0001435688],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8311661,0.0001791101,0.1667017,0.0002626275,0.00008858163,0.0007451997,0.00001807656,0.0000459627,0.0007926846],"genre_scores_gemma":[0.9870358,7.443974e-7,0.01162814,0.00001571016,0.00008270439,0.0001627981,0.00002311599,0.000006827226,0.001044189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1662616,"threshold_uncertainty_score":0.9853323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04261884764014204,"score_gpt":0.2965217899438851,"score_spread":0.2539029423037431,"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."}}