{"id":"W3006707822","doi":"10.1089/ind.2019.0011","title":"Cultivation of an Algae-Bacteria Consortium in a Mixture of Industrial Wastewater to Obtain Valuable Products for Local Use","year":2020,"lang":"en","type":"article","venue":"Industrial Biotechnology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Sani Marc (Canada); Université du Québec à Trois-Rivières","funders":"","keywords":"Wastewater; Biomass (ecology); Pulp and paper industry; Biofuel; Environmental science; Mixotroph; Sewage treatment; Algae; Industrial wastewater treatment; Biotechnology; Bacteria; Biology; Environmental engineering; Botany; Heterotroph; Ecology; Engineering","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":[0.0006487527,0.0007507292,0.0005802797,0.0004220526,0.0003970107,0.0007045587,0.0003631958,0.0004216712,0.0005607677],"category_scores_gemma":[0.0002932145,0.0002303288,0.0005326604,0.000602657,0.0001678159,0.000403998,0.000866295,0.0006055546,0.0003531307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002260192,"about_ca_system_score_gemma":0.0004758099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097384,"about_ca_topic_score_gemma":0.001634832,"domain_scores_codex":[0.9995102,0.0000780502,0.00004877191,0.0001168262,0.0001716023,0.00007463757],"domain_scores_gemma":[0.9998473,0.0000216578,0.0000212032,0.00001683412,0.00003924545,0.00005374792],"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":[0.00005242719,0.00009701974,0.0004521149,0.00003803869,0.000006443881,0.00004304227,0.00001422248,0.0001114871,0.9982466,0.00001397972,0.000008840291,0.0009158751],"study_design_scores_gemma":[0.00002229937,0.0008778624,0.004290006,0.00001465564,0.00003774404,0.0002004612,0.000116501,0.001009926,0.9925653,0.00003466149,0.0008201984,0.0000105121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950858,0.0001846266,0.00353552,0.00005978088,0.00002194485,0.00009808305,0.0001646729,0.00004079389,0.0008088033],"genre_scores_gemma":[0.9753032,0.0004669331,0.02074929,0.00005480641,0.00001039865,0.0001590637,0.0009022336,0.00002730323,0.002326947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097384,"threshold_uncertainty_score":0.003430963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07599174930102874,"score_gpt":0.2626465710483412,"score_spread":0.1866548217473124,"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."}}