{"id":"W3090629183","doi":"10.1007/s10811-020-02276-0","title":"Screening, acclimation and ammonia tolerance of microalgae grown in food waste digestate","year":2020,"lang":"en","type":"article","venue":"Journal of Applied Phycology","topic":"Algal biology and biofuel production","field":"Energy","cited_by":68,"is_retracted":false,"has_abstract":false,"ca_institutions":"Cybernet Systems Corporation (Canada)","funders":"","keywords":"Digestate; Chlorella vulgaris; Acclimatization; Anaerobic digestion; Biology; Scenedesmus; Chlorella; Biomass (ecology); Nutrient; Botany; Food science; Biofuel; Raw material; Algae; Biotechnology; Agronomy; Ecology","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":[0.0002069783,0.0003502828,0.0003185497,0.0002872189,0.0002232867,0.0003091207,0.0002250438,0.0003179544,0.0009323005],"category_scores_gemma":[0.0003871516,0.0001832276,0.0003356231,0.0003528025,0.000162561,0.0002646238,0.0004388087,0.000371097,0.0002718219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878422,"about_ca_system_score_gemma":0.0002175125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001887154,"about_ca_topic_score_gemma":0.001978369,"domain_scores_codex":[0.9996107,0.0000555736,0.00004747436,0.00008686672,0.0001237664,0.00007563626],"domain_scores_gemma":[0.9998409,0.00004160744,0.00002230852,0.00002130376,0.00004458347,0.00002940039],"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":[0.0000664746,0.00002425633,0.0003643882,0.0000105398,0.000001867903,0.00001576577,0.00001307692,0.00001451995,0.999041,0.000006486976,0.000008279879,0.000433311],"study_design_scores_gemma":[0.00000591341,0.0005616398,0.03144746,0.000003587848,0.00002217025,0.0001002689,0.0001309768,0.0003497047,0.9666775,0.00002253798,0.000670502,0.000007809805],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973891,0.0002262037,0.000835854,0.00006708041,0.00002458467,0.00003533915,0.000539863,0.00002216421,0.0008597604],"genre_scores_gemma":[0.9906358,0.0002905097,0.00217469,0.00008272942,0.0000105496,0.00008662094,0.001666617,0.00002010101,0.005032465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001887154,"threshold_uncertainty_score":0.003752291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01566474258578131,"score_gpt":0.2186303110909816,"score_spread":0.2029655685052003,"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."}}