{"id":"W2939091640","doi":"10.1021/acs.est.9b00766","title":"Tracing Molybdenum Attenuation in Mining Environments Using Molybdenum Stable Isotopes","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Mine drainage and remediation techniques","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Inro Consultants (Canada); University of Saskatchewan; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anoxic waters; Isotope fractionation; Molybdenum; Sorption; Ferrihydrite; Environmental chemistry; Isotope; Stable isotope ratio; Fractionation; Sulfate; Chemistry; Isotope analysis; Geology; Inorganic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000141593,0.0001791463,0.0001283621,0.000363129,0.0002626084,0.0003352274,0.0001967339,0.0003054919,0.0003815552],"category_scores_gemma":[0.0002445439,0.000114651,0.0001002849,0.0002056377,0.0002361383,0.0002454064,0.0002736421,0.0002600768,0.00008092256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002559689,"about_ca_system_score_gemma":0.0001876499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002224333,"about_ca_topic_score_gemma":0.005347168,"domain_scores_codex":[0.9999145,0.000008118318,0.000003960599,0.00002758108,0.00002924316,0.00001658878],"domain_scores_gemma":[0.9998899,0.00002549922,0.00004314492,0.00000772871,0.0000256812,0.000008124391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006129809,0.000016909,0.02504671,0.00003207201,0.000008582459,0.00003897036,0.00008575069,0.0002155548,0.9683119,0.00007517372,0.00002870519,0.006078495],"study_design_scores_gemma":[0.000006394155,0.0004026057,0.1111637,0.00001905726,0.00002373058,0.0002161512,0.0003580489,0.004558391,0.8810058,0.0002742044,0.001957298,0.00001463101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967444,0.0001121853,0.00263793,0.0000235613,0.000002457472,0.000006297977,0.00007584797,0.00002787929,0.000369419],"genre_scores_gemma":[0.9940731,0.0002262736,0.005021207,0.0000222666,0.000002878605,0.000009245736,0.00007275151,0.00001067017,0.0005616689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002224333,"threshold_uncertainty_score":0.004422784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007609254651357178,"score_gpt":0.2268667300755087,"score_spread":0.2192574754241515,"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."}}