{"id":"W4406664193","doi":"10.3390/min15010095","title":"A Genetic Model for the Biggenden Gold-Bearing Fe Skarn Deposit, Queensland, Australia: Geology, Mineralogy, Isotope Geochemistry, and Fluid Inclusion Studies","year":2025,"lang":"en","type":"article","venue":"Minerals","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"","keywords":"Geology; Geochemistry; Skarn; Isotope geochemistry; Fluid inclusions; Ore genesis; Inclusion (mineral); Genetic model; Stable isotope ratio; Isotope; Mineralogy; Chemistry; Hydrothermal circulation; 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":[0.0005685661,0.0006274876,0.000358606,0.000993,0.0007457049,0.0007830716,0.001343414,0.0006010927,0.005442212],"category_scores_gemma":[0.00097331,0.000242512,0.0004754596,0.0007792944,0.0008158688,0.0003497484,0.0005370099,0.0005409141,0.0004489851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00229223,"about_ca_system_score_gemma":0.001578874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.080603,"about_ca_topic_score_gemma":0.07559629,"domain_scores_codex":[0.9998111,0.00007170638,0.000007118552,0.00006658246,0.00001641193,0.00002702383],"domain_scores_gemma":[0.999657,0.0001388041,0.00006779813,0.00001394711,0.00006282705,0.0000595827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001039169,0.001167333,0.2820017,0.0002774022,0.0005845992,0.006784474,0.006374628,0.4809136,0.04836048,0.1187836,0.00346938,0.05024364],"study_design_scores_gemma":[0.0002417222,0.0004076007,0.09767018,0.00006369967,0.0002198673,0.0005911813,0.001218367,0.8790757,0.0004470896,0.01412055,0.005878116,0.00006590762],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9839045,0.0001113062,0.01206635,0.0002157863,0.000005753461,0.00009450463,0.0004688858,0.00002694911,0.003106114],"genre_scores_gemma":[0.9689789,0.0002537694,0.01877173,0.00006877854,0.000008015579,0.0002430554,0.0007203108,0.00003545511,0.01092012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.080603,"threshold_uncertainty_score":0.1602677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04130828574348606,"score_gpt":0.2946794037968473,"score_spread":0.2533711180533613,"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."}}