{"id":"W2998181532","doi":"10.1007/s13202-019-00824-0","title":"Sulfur speciation in soured reservoirs: chemical equilibrium and kinetics","year":2020,"lang":"en","type":"article","venue":"Journal of Petroleum Exploration and Production Technology","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Mitacs","keywords":"Sulfur; Seawater; Sulfate; Polysulfide; Hydrogen sulfide; Chemistry; Sulfide; Reactivity (psychology); Environmental chemistry; Inorganic chemistry; Sulfate-reducing bacteria; Chemical reaction; Aqueous solution; Organic chemistry; Geology; Oceanography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001990672,0.0000907367,0.0001992738,0.0002964511,0.00001137725,0.00002501914,0.00006618731,0.0001723479,0.00001068916],"category_scores_gemma":[0.0005715352,0.00008819592,0.00001854808,0.0003031904,0.00003974795,0.0003253507,0.00002212079,0.0003955194,0.000001870607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004352693,"about_ca_system_score_gemma":0.00001530903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.963308e-7,"about_ca_topic_score_gemma":0.000001146079,"domain_scores_codex":[0.9992059,0.00002824714,0.0004121637,0.0001187062,0.000123936,0.0001110598],"domain_scores_gemma":[0.9996197,0.00001470275,0.0001321855,0.00007155228,0.00009701293,0.00006487317],"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":[0.0001743662,0.00002643629,0.0006805164,0.00003921967,0.00001768467,0.000009096583,0.000486754,0.009476913,0.9633299,0.0002163913,0.002431397,0.02311135],"study_design_scores_gemma":[0.00354466,0.0007726589,0.000299033,0.00009926623,0.00004708154,0.000241762,0.002043854,0.03796056,0.9076128,0.005306991,0.04172369,0.0003476537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9094391,0.0007706542,0.003933836,0.08507272,0.000480204,0.0001045048,0.000001024316,0.0001092066,0.000088771],"genre_scores_gemma":[0.9980303,0.0003268714,0.0008040024,0.00004200222,0.0007542753,0.000003538013,0.000001343333,0.00001281635,0.00002485754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08859122,"threshold_uncertainty_score":0.3596525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458214276573424,"score_gpt":0.2216790832540848,"score_spread":0.1970969404883505,"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."}}