{"id":"W2221143990","doi":"10.1007/978-1-4020-3610-1_49","title":"Geostatistical Investigation of Elemental Enrichment in Hydrothermal Mineral Deposits","year":2005,"lang":"en","type":"book-chapter","venue":"Quantitative geology and geostatistics","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Hydrothermal circulation; Geology; Mineralogy; Covariance; Metal; Alunite; Anisotropy; Trace element; Chemistry; Geochemistry; Mathematics; Paleontology","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":[0.0004690237,0.0003557081,0.0003132047,0.002110433,0.0002042103,0.0007574676,0.0005767596,0.0002498056,0.001312306],"category_scores_gemma":[0.001628476,0.0003935623,0.0004878843,0.002436568,0.0003147937,0.0004487098,0.0004511175,0.0002411321,0.0003322088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003921647,"about_ca_system_score_gemma":0.0008123523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005460424,"about_ca_topic_score_gemma":0.01040301,"domain_scores_codex":[0.9997405,0.00006547273,0.00002129947,0.00003996748,0.0001152023,0.0000174466],"domain_scores_gemma":[0.9993462,0.0003876133,0.00008680465,0.00004999206,0.000112831,0.00001655612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003891169,0.0002155677,0.1044494,0.0007944111,0.0005409431,0.0008603102,0.0005871837,0.2039841,0.102642,0.05378619,0.01098743,0.5207633],"study_design_scores_gemma":[0.00003584328,0.0001385054,0.1237453,0.00004462602,0.0001402315,0.00138101,0.0005843186,0.7743554,0.04781386,0.03735609,0.01431689,0.00008792847],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3147953,0.002229495,0.6641985,0.0006487761,0.00007057972,0.00009372283,0.003122468,0.003824203,0.01101699],"genre_scores_gemma":[0.6960967,0.00162417,0.2907403,0.0001310563,0.00008641691,0.00008862497,0.003178536,0.0004740879,0.007580203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005460424,"threshold_uncertainty_score":0.01085728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02151989784726989,"score_gpt":0.2559577845678341,"score_spread":0.2344378867205642,"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."}}