{"id":"W2794247826","doi":"10.1016/j.biortech.2018.01.082","title":"Bioflocculants’ production from a cellulase-free xylanase-producing Pseudomonas boreopolis G22 by degrading biomass and its application in cost-effective harvest of microalgae","year":2018,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Biomass (ecology); Xylanase; Cellulase; Chemistry; Fermentation; Food science; Xylose; Hydrolysis; Hemicellulose; Pseudomonas; Yield (engineering); Flocculation; Cellulose; Pulp and paper industry; Bacteria; Biochemistry; Biology; Agronomy; Organic chemistry; Materials science; Enzyme","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":[0.0001762194,0.0007700832,0.0002068404,0.000249209,0.000186562,0.0003944355,0.0001652899,0.0002738149,0.0003859458],"category_scores_gemma":[0.000170835,0.0001840824,0.0003804818,0.000301359,0.0001692746,0.0004437998,0.0001990979,0.0004136624,0.0001715663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002023074,"about_ca_system_score_gemma":0.0001999944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009122425,"about_ca_topic_score_gemma":0.001227701,"domain_scores_codex":[0.9998893,0.00001712907,0.00001124276,0.00002132837,0.00003099615,0.00003010374],"domain_scores_gemma":[0.9999475,0.000008375899,0.00001189423,0.000006821581,0.00001081015,0.00001448827],"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":[0.00004517413,0.00001989717,0.00006267901,0.00001988575,0.000003666046,0.00003627473,0.00001010103,0.00008740605,0.9985961,0.00002352262,0.00001034406,0.001084923],"study_design_scores_gemma":[0.000004551364,0.00008397255,0.0007256847,0.000002131274,0.000008147646,0.00003048672,0.000009950447,0.0001916617,0.9986198,0.00001287677,0.0003080427,0.000002792651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996042,0.0007932872,0.002325232,0.0000541221,0.00002085421,0.00001207935,0.0001457974,0.00002423509,0.000582314],"genre_scores_gemma":[0.996146,0.0005496549,0.001867122,0.00001231975,0.00000563703,0.00001345375,0.0003479803,0.00001271378,0.001045091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009122425,"threshold_uncertainty_score":0.001813889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086368744168326,"score_gpt":0.2354716647203014,"score_spread":0.2246079772786181,"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."}}