{"id":"W2046007503","doi":"10.1144/geochem2013-233","title":"The use of property-scale portable X-ray fluorescence data in gold exploration: advantages and limitations","year":2014,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Property (philosophy); Scale (ratio); Fluorescence; Computer science; Remote sensing; Materials science; Environmental science; Geology; Optics; Cartography; Physics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005623031,0.0001570406,0.0002159794,0.00006493302,0.0001675323,0.0001596495,0.0007175354,0.00006762461,0.00001794255],"category_scores_gemma":[0.0003858157,0.0001130205,0.00004986521,0.0005424435,0.0001469484,0.001744751,0.0004494431,0.0001131339,0.00000641007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002193044,"about_ca_system_score_gemma":0.00001697116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002558725,"about_ca_topic_score_gemma":0.00007301343,"domain_scores_codex":[0.9983643,0.000096669,0.0004405043,0.0005727897,0.0003121362,0.0002136361],"domain_scores_gemma":[0.997804,0.0003019506,0.0002497478,0.001528556,0.00004854767,0.0000672387],"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":[0.0000669269,0.0008922185,0.07675543,0.0002450465,0.0007433643,0.00001525929,0.004768161,0.590214,0.1661001,0.002548986,0.006030272,0.1516203],"study_design_scores_gemma":[0.0002457098,0.00002866733,0.003896004,0.00002339444,0.0001401199,0.000001443984,0.0006560984,0.8660666,0.01520957,0.001112852,0.1123285,0.0002911026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02057468,0.0002734531,0.954941,0.02132338,0.00005578375,0.0005133889,0.00002908103,0.00009175058,0.002197446],"genre_scores_gemma":[0.9666756,0.001261542,0.02719258,0.0000563258,0.00003748212,0.000119471,0.0004859191,0.000004127824,0.004166991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9461009,"threshold_uncertainty_score":0.4608843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06605094433272556,"score_gpt":0.2278432373712501,"score_spread":0.1617922930385245,"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."}}