{"id":"W2921669301","doi":"10.1016/j.biortech.2019.03.067","title":"Optimization of the proportions of four wastewaters in a blend for the cultivation of microalgae using a mixture design","year":2019,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Consejo Nacional de Ciencia y Tecnología","keywords":"Pulp and paper industry; Wastewater; Environmental science; Waste management; Biotechnology; Chemistry; Environmental engineering; Biology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002110185,0.00007628692,0.0001507881,0.0001587824,0.0000426806,0.000001170186,0.0002026807,0.0002641261,0.00002923426],"category_scores_gemma":[0.0001720326,0.0000428673,0.00005346253,0.000496753,0.0002897297,0.00002385146,0.0000489843,0.00009501388,4.926624e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002409277,"about_ca_system_score_gemma":0.0000335453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020021,"about_ca_topic_score_gemma":0.00002025584,"domain_scores_codex":[0.9993442,0.00005846729,0.0002852741,0.000145097,0.0000547216,0.0001122614],"domain_scores_gemma":[0.9992027,0.00006693561,0.0003396436,0.0002784998,0.0001078686,0.000004393768],"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":[0.0001921493,0.00006895312,0.01321733,0.00007624107,0.00004923469,7.916809e-8,0.0002479539,0.1141718,0.867834,0.001686881,0.00006600211,0.002389361],"study_design_scores_gemma":[0.0005414888,0.0001963166,0.00236494,0.00008378906,0.00004932092,0.00001082633,0.0007466055,0.01973906,0.9741207,0.001149624,0.0009110924,0.00008618144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822746,0.0001612781,0.01549023,0.001058393,0.00008867239,0.0008589019,0.00002096766,0.00002464711,0.00002233683],"genre_scores_gemma":[0.9896125,0.000007158361,0.01023878,0.00001069043,0.00001301638,0.00002621451,0.00001108195,0.000008105849,0.0000724078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1062867,"threshold_uncertainty_score":0.2037183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02217170745610982,"score_gpt":0.2295649210578845,"score_spread":0.2073932136017747,"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."}}