{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008864208,0.0001109855,0.0001785753,0.000278194,0.0001249686,0.00009268458,0.00006477836,0.00005738256,0.00001887317],"category_scores_gemma":[0.0001590371,0.0001059553,0.00008096899,0.0007434165,0.00006813706,0.0003134009,0.00002175104,0.00006805857,0.00001161905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013233,"about_ca_system_score_gemma":0.0000715731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001886308,"about_ca_topic_score_gemma":0.00007666145,"domain_scores_codex":[0.9983638,0.00003826253,0.0005419183,0.0003567557,0.0005224977,0.0001767988],"domain_scores_gemma":[0.9989537,0.000003300726,0.0001442653,0.0005481481,0.0002188434,0.0001317574],"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":[0.000003006571,0.00003185037,0.0004393564,0.00004949747,0.00004019541,0.00003626324,0.0006501765,0.2484709,0.7452446,0.00000132001,0.004164464,0.0008683585],"study_design_scores_gemma":[0.0001007602,0.000006908277,0.0001608274,0.00002926096,0.00003450551,0.0001072289,0.0002256032,0.04183736,0.9538044,0.00006427742,0.003475458,0.0001534442],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931396,0.0002890574,0.0001917777,0.00008049514,0.00463992,0.00006175037,4.72432e-7,0.0001667192,0.001430174],"genre_scores_gemma":[0.9952871,0.000008918341,0.0003048002,0.000001902035,0.0001830877,0.00001033127,0.00006621476,0.00001878213,0.004118851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2085597,"threshold_uncertainty_score":0.4320733,"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."}}