{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006566729,0.0004190948,0.0004764478,0.0004968681,0.0007066688,0.0008640297,0.001481596,0.0007432895,0.0008146573],"category_scores_gemma":[0.002041235,0.0003979569,0.0005752011,0.0005499101,0.000617186,0.0004859061,0.0005418011,0.001031309,0.0001282878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002629686,"about_ca_system_score_gemma":0.003862246,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6501727,"about_ca_topic_score_gemma":0.6195682,"domain_scores_codex":[0.9998837,0.00002334578,0.000005440958,0.00003141739,0.00002283171,0.00003320199],"domain_scores_gemma":[0.9995188,0.0002090657,0.00004613243,0.00003779001,0.0001458745,0.00004247812],"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":[0.0000316218,0.00002123739,0.005153067,0.00000719575,0.0000162534,0.00002261715,0.00001934959,0.9888533,0.0003363715,0.0004443374,0.0004400972,0.004654508],"study_design_scores_gemma":[0.000001766386,0.000001111957,0.0009068127,0.000001052314,0.000001607905,0.000001382486,0.00000535511,0.9988387,0.00006752881,0.0001349196,0.00003773258,0.000002038917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9494827,0.0001983549,0.04627977,0.0005617079,0.00003660044,0.00002584211,0.0009837645,0.0002717395,0.002159507],"genre_scores_gemma":[0.9937981,0.00005492368,0.004197218,0.00002343072,0.0000121484,0.00001340833,0.0006147882,0.00001686461,0.001269083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3498273,"threshold_uncertainty_score":0.7037749,"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."}}