{"id":"W2590388258","doi":"10.1021/acs.est.6b06039","title":"Cultivation of the Marine Macroalgae <i>Chaetomorpha linum</i> in Municipal Wastewater for Nutrient Recovery and Biomass Production","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; BioFuelNet Canada","keywords":"Biomass (ecology); Wastewater; Nutrient; Linum; Biofuel; Phosphorus; Pulp and paper industry; Sewage treatment; Animal science; Environmental science; Raw material; Composition (language); Productivity; Biology; Chemistry; Botany; Food science; Agronomy; Environmental engineering; Biotechnology; Ecology","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":[0.0002186021,0.0005696174,0.0005007235,0.0002034902,0.0002471888,0.0004645674,0.0002821452,0.000342481,0.0003867783],"category_scores_gemma":[0.0001597245,0.0002073818,0.0005715861,0.000348128,0.0001290112,0.0002113392,0.0006713364,0.000500251,0.0002285764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003471045,"about_ca_system_score_gemma":0.0002765666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002940289,"about_ca_topic_score_gemma":0.006052233,"domain_scores_codex":[0.9997869,0.00002562383,0.00002757364,0.00005422553,0.00006869199,0.00003712715],"domain_scores_gemma":[0.9999021,0.00001350433,0.0000301831,0.00001058807,0.00002069295,0.00002283146],"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":[0.00002317533,0.000009391333,0.0001705629,0.00001919308,0.00000216249,0.00002297784,0.000007025765,0.00002926732,0.9991882,0.000004121853,0.000007056776,0.0005168038],"study_design_scores_gemma":[0.000006803386,0.000372481,0.006914648,0.000008322401,0.00002309524,0.000128847,0.00006503582,0.0007235239,0.9907885,0.00001127738,0.000948316,0.000009085064],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997321,0.0002283521,0.001536213,0.00005747063,0.00001514413,0.00002939702,0.0001544548,0.00003833173,0.0006197247],"genre_scores_gemma":[0.9890068,0.0004345785,0.008184872,0.00006245479,0.000006523311,0.00006217678,0.0005205348,0.00002396978,0.001698228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002940289,"threshold_uncertainty_score":0.005846381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009258627538198552,"score_gpt":0.2225343672093985,"score_spread":0.2132757396711999,"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."}}