{"id":"W2077548009","doi":"10.1016/j.gexplo.2014.12.007","title":"Exploratory data analysis and singularity mapping in geochemical anomaly identification in Karamay, Xinjiang, China","year":2014,"lang":"en","type":"article","venue":"Journal of Geochemical Exploration","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Geological Survey of Canada","funders":"","keywords":"Felsic; Geology; Geochemistry; Metallogeny; Magmatism; Mineralization (soil science); Porphyry copper deposit; Mafic; Mineralogy; Quartz; Pyrite; Fluid inclusions; Tectonics; Paleontology; Soil science; Sphalerite; Soil water","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002216622,0.0001684431,0.0004144113,0.000467711,0.00005802303,0.0001801653,0.0009418971,0.00017444,0.000005813316],"category_scores_gemma":[0.001288487,0.0001667019,0.00007585665,0.001342466,0.00007258953,0.00207862,0.0003981752,0.0004549842,0.000002402728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007492584,"about_ca_system_score_gemma":0.00007480379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003781049,"about_ca_topic_score_gemma":0.00003001514,"domain_scores_codex":[0.9977551,0.00019996,0.0009416831,0.0004878621,0.0003583997,0.0002570321],"domain_scores_gemma":[0.9982878,0.0001439759,0.0005467013,0.0007144169,0.0001870229,0.0001200631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000111764,0.001001375,0.2707703,0.0003154356,0.0002519952,0.0001460942,0.007739098,0.003801479,0.6842124,0.003935516,0.0009909073,0.02672361],"study_design_scores_gemma":[0.001831128,0.00009170904,0.1909115,0.0002889385,0.0001286174,0.0001191397,0.0006638801,0.6327527,0.09929949,0.0706394,0.002575919,0.0006975468],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6587762,0.0001700758,0.3375929,0.003059232,0.00008339732,0.00006847345,0.000001766016,0.00001846711,0.0002294969],"genre_scores_gemma":[0.9872469,0.00005306366,0.01245034,0.0000585275,0.0001142658,0.000004806785,0.00004866314,0.000002960193,0.00002042672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6289512,"threshold_uncertainty_score":0.6797906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910146361433392,"score_gpt":0.2539465858469779,"score_spread":0.224845122232644,"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."}}