{"id":"W2012758405","doi":"10.2118/169638-ms","title":"Use of Molecular Methods (Pyrosequencing) for Evaluating MIC Potential in Water Systems for Oil Production in the North Sea","year":2014,"lang":"en","type":"article","venue":"","topic":"Corrosion Behavior and Inhibition","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Genome Alberta; Alberta Innovates; Shell Global Solutions International; Suncor Energy Incorporated; Genome Canada","keywords":"Seawater; Pyrosequencing; Environmental chemistry; Sulfate-reducing bacteria; Sulfide; Sulfur; Produced water; Chemistry; Deltaproteobacteria; Sulfate; Desulfovibrio; Environmental science; Environmental engineering; 16S ribosomal RNA; Biology; Ecology; Gammaproteobacteria; Biochemistry","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":[0.0004244173,0.0004106037,0.0003736686,0.0009496676,0.0003087584,0.000642838,0.0002260435,0.0003926962,0.0003378129],"category_scores_gemma":[0.0007158755,0.0002632521,0.0002604225,0.0005633781,0.0003306429,0.0003827701,0.0003388245,0.0003020617,0.0002256774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002265395,"about_ca_system_score_gemma":0.0003221458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00307725,"about_ca_topic_score_gemma":0.006463392,"domain_scores_codex":[0.9993039,0.0000889201,0.00004667492,0.0001719054,0.00034024,0.00004830663],"domain_scores_gemma":[0.9996886,0.00007469533,0.00009114966,0.00001920301,0.0001033914,0.00002290208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007560464,0.00004102106,0.02233298,0.000072502,0.0000155282,0.00005307158,0.0001158192,0.000410627,0.9695663,0.00002712154,0.00002191181,0.007267572],"study_design_scores_gemma":[0.000009427072,0.0008912699,0.3354719,0.00002693967,0.00007511363,0.0002649695,0.0007111576,0.007429262,0.6530744,0.0001367499,0.001876643,0.00003208714],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923534,0.0003424623,0.005722524,0.00004018059,0.00001034347,0.00006069559,0.0005941798,0.00004316458,0.0008330925],"genre_scores_gemma":[0.9815601,0.0004022164,0.01649771,0.0000348085,0.000007227853,0.0000629154,0.000705682,0.00001415315,0.0007149972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00307725,"threshold_uncertainty_score":0.006118655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09065601649810075,"score_gpt":0.3622958968860677,"score_spread":0.271639880387967,"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."}}