{"id":"W2912521996","doi":"10.5382/econgeo.2018.4608","title":"Taking the Temperature of Hydrothermal Ore Deposits Using Clumped Isotope Thermometry","year":2018,"lang":"en","type":"article","venue":"Economic Geology","topic":"Geological and Geochemical Analysis","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Geology; Carbonate; Skarn; Geochemistry; Geothermal gradient; Hydrothermal circulation; Dolomite; Volcano; Calcite; Carbonate minerals; Ore genesis; Andesite; δ18O; Stibnite; Mineralogy; Stable isotope ratio; Fluid inclusions; Volcanic rock; Sphalerite; Paleontology; Chemistry; Pyrite","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001992833,0.0001136627,0.0002324197,0.00004847748,0.0001528072,0.00001426056,0.0003187305,0.000119499,0.03296532],"category_scores_gemma":[0.00003660222,0.00006627999,0.00009271126,0.0001191369,0.0004152904,0.00005309796,0.00003671014,0.0001350235,0.0004031988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000033693,"about_ca_system_score_gemma":0.00002342459,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006682433,"about_ca_topic_score_gemma":0.00783361,"domain_scores_codex":[0.9991233,0.00009287478,0.0002368084,0.0002336187,0.00004494751,0.0002684776],"domain_scores_gemma":[0.9994327,0.0001295736,0.0001627639,0.0001980351,0.0000245793,0.00005239267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002979366,0.000008608035,0.9900894,0.000003828115,0.00006056402,0.000002927338,0.00008844341,0.002006118,0.003201537,0.0001722947,0.00003573722,0.004300717],"study_design_scores_gemma":[0.0001536184,0.0001137846,0.9682192,0.000003638777,0.00003049126,0.00004180747,0.00006717061,0.02209504,0.005851527,0.003018679,0.0002794222,0.0001256483],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891611,0.0003258946,0.0000104688,0.0006851374,0.0002058048,0.00007103042,0.000009432058,0.00001356741,0.009517507],"genre_scores_gemma":[0.9987752,0.000008139456,0.0002560024,0.0005510131,0.0002896754,5.483047e-7,0.00001354517,0.000002034248,0.0001037971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03256212,"threshold_uncertainty_score":0.9999322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01419321699044149,"score_gpt":0.2094688814404234,"score_spread":0.195275664449982,"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."}}