{"id":"W3213436596","doi":"10.1016/j.scitotenv.2021.151215","title":"Hydrogeochemical mineral exploration in deeply weathered terrains: An example from Mumbwa, Zambia","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Arthur B. McDonald-Canadian Astroparticle Physics Research Institute; Geological Survey of Canada","funders":"Canada First Research Excellence Fund","keywords":"Iron oxide copper gold ore deposits; Geology; Geochemistry; Groundwater; Mineral exploration; Chalcopyrite; Prospectivity mapping; Mineral; Overburden; Mineralogy; Mining engineering; Geomorphology; Fluid inclusions; Quartz; Copper; Structural basin; Chemistry; Paleontology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001255044,0.0002984366,0.0002532974,0.001213585,0.00168341,0.0008699459,0.0003452295,0.0005220558,0.001277924],"category_scores_gemma":[0.0003863301,0.000192098,0.0002159418,0.002605424,0.000846644,0.0003544636,0.001009001,0.0003503083,0.00009808948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002012755,"about_ca_system_score_gemma":0.001905983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3594836,"about_ca_topic_score_gemma":0.6690771,"domain_scores_codex":[0.9998878,0.00001632686,0.000005043029,0.000009895092,0.00001764987,0.0000632732],"domain_scores_gemma":[0.999907,0.00002109261,0.00002086235,0.000007441047,0.0000254532,0.00001805544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001053769,0.0003368499,0.7360143,0.00214761,0.0003099879,0.05711952,0.04829672,0.008806983,0.03103229,0.01075486,0.004342107,0.09978511],"study_design_scores_gemma":[0.00004513947,0.0000906255,0.9440176,0.0002342682,0.00008955183,0.001843283,0.03742522,0.001889184,0.00101782,0.0005844115,0.01273182,0.00003103725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933385,0.0005109299,0.0002281537,0.0003377128,0.0000044763,0.00005549012,0.0003445041,0.0000113384,0.005168994],"genre_scores_gemma":[0.9970506,0.0005314335,0.000724428,0.00003991727,0.00000192024,0.0000175477,0.0001618169,0.000003895205,0.001468538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3594836,"threshold_uncertainty_score":0.7147823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662159394965603,"score_gpt":0.206218071648978,"score_spread":0.1795964776993219,"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."}}