{"id":"W1999120938","doi":"10.1038/srep08159","title":"Minimising hydrogen sulphide generation during steam assisted production of heavy oil","year":2015,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"BP (Canada)","funders":"Science and Technology Facilities Council","keywords":"Asphaltene; Hydrogen sulphide; Hydrogen; Hydrogen sulfide; Sulfur; Petroleum; Environmental science; Extraction (chemistry); Steam injection; Hydrogen production; Oil production; Petroleum engineering; Thermal; Waste management; Materials science; Chemical engineering; Chemistry; Geology; Metallurgy; Organic chemistry; Thermodynamics","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":[0.0002231083,0.0001881096,0.0002662216,0.0001367077,0.0001322551,0.0002514444,0.0002795082,0.0002141234,0.000769253],"category_scores_gemma":[0.0004180117,0.0001184642,0.0002052735,0.0001219715,0.0002518854,0.0002779043,0.000274882,0.0003088367,0.000195779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692598,"about_ca_system_score_gemma":0.000226991,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007138358,"about_ca_topic_score_gemma":0.001777314,"domain_scores_codex":[0.9998732,0.00002229533,0.000007709972,0.00001781476,0.00004896932,0.00002999759],"domain_scores_gemma":[0.9998684,0.00004703185,0.00003479612,0.0000146081,0.00002329631,0.00001192712],"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":[0.0002449168,0.00003330911,0.000456251,0.00007580117,0.000007145755,0.00005232068,0.00003262012,0.000669156,0.9957569,0.00005008202,0.00003340562,0.002588093],"study_design_scores_gemma":[0.000004342387,0.0001939169,0.0006539019,0.000002055134,0.000003311576,0.00001658916,0.00001474898,0.001468851,0.9974262,0.00001366629,0.0001999491,0.000002373263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963679,0.0001670199,0.002831479,0.00002506991,0.000006177882,0.00001765717,0.0000594905,0.000029742,0.0004954311],"genre_scores_gemma":[0.9979008,0.0001686353,0.001412385,0.000007652552,0.000003086681,0.00001181862,0.00005597,0.0000122314,0.0004274498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000769253,"threshold_uncertainty_score":0.002573431,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03462451441227441,"score_gpt":0.2398009506336437,"score_spread":0.2051764362213692,"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."}}