{"id":"W2933807147","doi":"10.1016/j.gexplo.2019.03.016","title":"A multivariate statistical approach identifying the areas underlain by potential porphyry-style Cu mineralization, south-central British Columbia, Canada","year":2019,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada; University of Ottawa","funders":"","keywords":"Mineralization (soil science); Mafic; Geology; Geochemistry; Provenance; Aqua regia; Porphyry copper deposit; Terrane; Group (periodic table); Mineralogy; Metal; Chemistry; Soil water; Fluid inclusions; Paleontology; Soil science; Tectonics","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":[0.0004133374,0.0001223745,0.0002383539,0.0000184701,0.0001696491,0.0006587249,0.0005864204,0.00009817173,0.0001228651],"category_scores_gemma":[0.0003553531,0.0001308449,0.00007705044,0.0002389378,0.00004999784,0.0006401789,0.0001215478,0.0003292746,0.000003530424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253561,"about_ca_system_score_gemma":0.0003705576,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07000329,"about_ca_topic_score_gemma":0.01834749,"domain_scores_codex":[0.9980325,0.0001363913,0.0005777812,0.0002803085,0.0006312545,0.0003418009],"domain_scores_gemma":[0.9986223,0.00009267538,0.0004705245,0.0002423054,0.0004094667,0.0001627536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001852006,0.001080512,0.02997457,0.0005288295,0.0005620848,0.000511884,0.00590221,0.03466301,0.2479775,0.005354435,0.6631346,0.01012513],"study_design_scores_gemma":[0.007978479,0.0003985536,0.02640457,0.0005190355,0.0002459314,0.002767123,0.006465962,0.8616139,0.009242633,0.04386039,0.03834828,0.002155195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1539819,0.00009190753,0.8431839,0.001714769,0.0004364576,0.0001713653,0.00002317796,0.0000201878,0.0003763663],"genre_scores_gemma":[0.9892195,0.000009538669,0.009293452,0.0002813423,0.0001814605,0.000005696822,0.0001091765,0.000005137892,0.0008946221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8352377,"threshold_uncertainty_score":0.9995651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01084542496559204,"score_gpt":0.1996713592846605,"score_spread":0.1888259343190685,"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."}}