{"id":"W7070825320","doi":"","title":"Purple Bacteria for Wastewater Treatment and Resource Recovery","year":2020,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Microbial Fuel Cells and Bioremediation","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Génome Québec; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Photobioreactor; Wastewater; Chemical oxygen demand; Sewage treatment; Biomass (ecology); Effluent; Fermentation; Resource recovery; Sequencing batch reactor; Bacteria","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":[0.0005451054,0.0008479425,0.0005444135,0.000827426,0.0004259138,0.0009282478,0.0005713609,0.001373418,0.005240671],"category_scores_gemma":[0.000378617,0.0002651117,0.0005188153,0.001123442,0.0003178592,0.0006118428,0.001183672,0.001228554,0.005429927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007807881,"about_ca_system_score_gemma":0.0004725575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008303465,"about_ca_topic_score_gemma":0.00124469,"domain_scores_codex":[0.9993966,0.0001242177,0.00002946824,0.0001392611,0.0002326886,0.00007788638],"domain_scores_gemma":[0.9998574,0.00002120171,0.00003667103,0.00001284564,0.00004376384,0.00002809934],"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":[0.0002452607,0.000287263,0.0006690508,0.002397208,0.00005407626,0.0004187895,0.00009141505,0.0009211385,0.7420661,0.007630959,0.01308966,0.2321291],"study_design_scores_gemma":[0.00008610902,0.0008324601,0.004246083,0.000419073,0.0000949119,0.001240503,0.0001459542,0.003588037,0.5320066,0.006425515,0.4508333,0.00008140565],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1092994,0.7077905,0.08872429,0.009459109,0.003745924,0.0006368953,0.003231391,0.002186787,0.07492576],"genre_scores_gemma":[0.6401535,0.2067678,0.07045323,0.002169596,0.0006156527,0.0004774854,0.00343953,0.0003948588,0.07552824],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005240671,"threshold_uncertainty_score":0.01753181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01237743373695854,"score_gpt":0.2067126101695067,"score_spread":0.1943351764325481,"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."}}