{"id":"W2008250445","doi":"10.1007/s11707-014-0465-4","title":"The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China","year":2014,"lang":"en","type":"article","venue":"Frontiers of Earth Science","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Geology; Geospatial analysis; Remote sensing","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":[0.001821082,0.0002863147,0.0002194203,0.001122892,0.0004338,0.0008486417,0.0006469699,0.0002944281,0.0003862519],"category_scores_gemma":[0.00491075,0.0001475228,0.0002408568,0.0007678384,0.0003307529,0.0009856528,0.0005976098,0.0002372606,0.00004684237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008134522,"about_ca_system_score_gemma":0.001344787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06426997,"about_ca_topic_score_gemma":0.07630721,"domain_scores_codex":[0.9996674,0.0001402074,0.00003252285,0.00006617651,0.00005382713,0.0000398738],"domain_scores_gemma":[0.9983924,0.001010237,0.0001392825,0.0001022844,0.0003040985,0.00005170707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004764289,0.000169928,0.4502541,0.0002242808,0.0003179335,0.0004360444,0.001779595,0.2818235,0.005377797,0.01078971,0.0008153688,0.2475353],"study_design_scores_gemma":[0.00001871607,0.00005348921,0.1260025,0.00001821945,0.0001081407,0.0000358535,0.0006545024,0.8640279,0.00155605,0.006925151,0.0005739208,0.0000256187],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833332,0.000200492,0.01515142,0.0002040656,0.000004724285,0.000007300534,0.000130624,0.00002391482,0.0009443643],"genre_scores_gemma":[0.9979478,0.00003222052,0.001852487,0.000004305346,0.000001477835,0.000001539844,0.00006746001,0.000001187225,0.0000916426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06426997,"threshold_uncertainty_score":0.1277918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02220747871982934,"score_gpt":0.2126399437718167,"score_spread":0.1904324650519873,"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."}}