{"id":"W4206832792","doi":"10.1016/j.algal.2021.102628","title":"Characterization of two microalgae consortia grown in industrial wastewater for biomass valorization","year":2022,"lang":"en","type":"article","venue":"Algal Research","topic":"Algal biology and biofuel production","field":"Energy","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sani Marc (Canada); Université du Québec à Trois-Rivières","funders":"","keywords":"Photobioreactor; Wastewater; Biomass (ecology); Biology; Nutrient; Sewage treatment; Cyanobacteria; Food science; Algae; Polyunsaturated fatty acid; Biotechnology; Chlorophyta; Pulp and paper industry; Botany; Fatty acid; Bacteria; Environmental science; Ecology; Environmental engineering; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001740753,0.00008439418,0.0001482266,0.0003569201,0.0002334995,0.0000142096,0.0001952904,0.000110884,0.0005036657],"category_scores_gemma":[0.0001977332,0.00007993229,0.00004250902,0.0006882619,0.0001345003,0.0001172295,0.0001600627,0.0003360614,0.00001754985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001217093,"about_ca_system_score_gemma":0.0001150177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008807296,"about_ca_topic_score_gemma":0.00007916929,"domain_scores_codex":[0.9981678,0.0005612132,0.000319573,0.0003092306,0.0003017618,0.0003404533],"domain_scores_gemma":[0.9994037,0.0001268274,0.0000846136,0.0001788899,0.000171666,0.00003429909],"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":[0.0007469603,0.0001085027,0.01064985,0.00002166772,0.0000194625,0.000001992222,0.0001776891,0.00002826972,0.9788494,0.005111122,0.0001789105,0.004106247],"study_design_scores_gemma":[0.001951891,0.0005565205,0.008662937,0.00001005137,0.000007911764,0.000006240247,0.0001334999,0.0003416625,0.9679338,0.002541761,0.01771324,0.0001404444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99774,0.00002618284,0.00004982864,0.0006590634,0.0004813643,0.0005534416,0.00006443815,0.00001929167,0.00040644],"genre_scores_gemma":[0.9975502,0.000008445239,0.00003923112,0.00001953074,0.0003036211,0.0002266793,0.001067179,0.00001539507,0.0007697187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01753433,"threshold_uncertainty_score":0.5514786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100320941547309,"score_gpt":0.3424684636997917,"score_spread":0.2421475221524827,"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."}}