{"id":"W2077266967","doi":"10.1144/1467-7873/06-109","title":"Multi-element association analysis of stream sediment geochemistry data for predicting gold deposits in south-central Yunnan Province, China","year":2006,"lang":"en","type":"article","venue":"Geochemistry Exploration Environment Analysis","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"De Beers (Canada); York University","funders":"","keywords":"China; Geology; Sediment; Geochemistry; Mining engineering; Archaeology; Geography; Geomorphology","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":[0.0008447442,0.0004454161,0.000307847,0.003834437,0.0005051459,0.0006114502,0.0003273629,0.0002827368,0.0001961322],"category_scores_gemma":[0.001302745,0.0001547141,0.0003932844,0.002637247,0.0002193107,0.000312795,0.0004115727,0.0001783646,0.00006196032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089341,"about_ca_system_score_gemma":0.001982938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1264437,"about_ca_topic_score_gemma":0.1793149,"domain_scores_codex":[0.9996845,0.00005333439,0.00005388923,0.00007368174,0.00009511557,0.00003955742],"domain_scores_gemma":[0.9992808,0.0002108749,0.0001388249,0.00003616994,0.0002373759,0.00009606359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006160334,0.00007968742,0.9533045,0.00004911624,0.00009281215,0.0003416458,0.0002245447,0.01740257,0.003669805,0.00009725443,0.0001842593,0.02449218],"study_design_scores_gemma":[0.00001073197,0.00005764053,0.8502829,0.00001265977,0.00004479598,0.00009455856,0.000919157,0.146329,0.001550924,0.0001569267,0.0005254306,0.00001520066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985208,0.000057219,0.0009733312,0.0000215515,0.000001788511,0.00001600782,0.0001961163,0.00002638886,0.0001867054],"genre_scores_gemma":[0.9966248,0.00006100523,0.002639191,0.000003884874,0.000001916773,0.00001406023,0.0004579378,0.000003842519,0.0001933325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264437,"threshold_uncertainty_score":0.2514154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01504078478098057,"score_gpt":0.2153084174290102,"score_spread":0.2002676326480296,"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."}}