{"id":"W4303856863","doi":"10.3390/mining2040036","title":"Application of Volume Uncertainty for Resource Classification: A Case Study on the Rondon Do Pará Bauxite Deposit, Brazil","year":2022,"lang":"en","type":"article","venue":"Mining","topic":"Geological Modeling and Analysis","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Bauxite; Mineral resource classification; Geology; Resource (disambiguation); Mining engineering; Gaussian; Soil science; Mineralogy; Statistics; Environmental science; Geochemistry; Mathematics; Computer science; Metallurgy; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00170379,0.0004850539,0.0004789926,0.001046503,0.000636328,0.00118885,0.0008906666,0.0007225503,0.0006700522],"category_scores_gemma":[0.006460107,0.0002714557,0.0007712293,0.001082039,0.0006785913,0.0007257008,0.0007071826,0.0003896456,0.00003859078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002911141,"about_ca_system_score_gemma":0.00168384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1498522,"about_ca_topic_score_gemma":0.1065597,"domain_scores_codex":[0.9993748,0.0002590171,0.00003915921,0.0001147352,0.0001455667,0.00006663329],"domain_scores_gemma":[0.9953318,0.003847955,0.0002302772,0.0001849316,0.0003433224,0.00006157646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000617055,0.00003591392,0.0307035,0.00003770655,0.00003820524,0.0003897447,0.0001522485,0.9580737,0.0005220366,0.002584895,0.0001335382,0.007266798],"study_design_scores_gemma":[0.000009232842,0.00002676967,0.008170296,0.00001743698,0.00001801665,0.00008373397,0.0002242419,0.9884188,0.0008308045,0.001755217,0.0004320427,0.00001356708],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9791046,0.0001127876,0.01770959,0.0002148826,0.000005194688,0.0000497451,0.0004643241,0.00006703741,0.002271789],"genre_scores_gemma":[0.9944329,0.00003995838,0.005215762,0.000006383482,0.000001959847,0.00001215396,0.0001288484,0.000009526204,0.0001524928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1498522,"threshold_uncertainty_score":0.29796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04299632271402622,"score_gpt":0.2580027428967828,"score_spread":0.2150064201827565,"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."}}