{"id":"W2900982273","doi":"10.1016/j.biortech.2018.11.043","title":"On-board saline black water treatment by bioaugmentation original marine bacteria with Pseudoalteromonas sp. SCSE709-6 and the associated microbial community","year":2018,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs","funders":"National Key Research and Development Program of China; Natural Science Foundation of Shandong Province","keywords":"Bioaugmentation; Pseudoalteromonas; Microbial population biology; Seawater; Saline; Bacteria; Biology; Microbiology; Food science; Environmental chemistry; Environmental engineering; Environmental science; Chemistry; Ecology; Bioremediation; 16S ribosomal RNA","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":[0.0001289075,0.0007307269,0.0004099462,0.0002151817,0.0001908558,0.0005083745,0.0002538372,0.0003281513,0.001445397],"category_scores_gemma":[0.0001633993,0.0001516631,0.0003320625,0.0002204037,0.000216491,0.0003482469,0.0004471341,0.0003432424,0.0002822159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001534073,"about_ca_system_score_gemma":0.0004640199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002546515,"about_ca_topic_score_gemma":0.003713427,"domain_scores_codex":[0.9998387,0.00001879144,0.00001030035,0.00003184122,0.00004921094,0.00005121053],"domain_scores_gemma":[0.9999139,0.000009157238,0.00001365859,0.000007401246,0.00002111939,0.00003465375],"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":[0.0003653733,0.00006684106,0.0005138094,0.00004052678,0.000007063039,0.00003494946,0.00002745764,0.00007950029,0.996106,0.00002152661,0.00003449772,0.002702472],"study_design_scores_gemma":[0.00003257361,0.001670572,0.01310437,0.00002151075,0.00005742534,0.00007880158,0.0002690765,0.001053004,0.9819539,0.00007555442,0.001666933,0.00001630168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987502,0.0001535811,0.0002258172,0.00002962006,0.00002855575,0.00001283117,0.00009587332,0.00001212176,0.0006914376],"genre_scores_gemma":[0.9966398,0.000214807,0.0008791452,0.00003454374,0.00001200291,0.00001496719,0.0002808264,0.00001161207,0.001912329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002546515,"threshold_uncertainty_score":0.005063355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006686821184388992,"score_gpt":0.2128903389655947,"score_spread":0.2062035177812057,"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."}}