{"id":"W4229458941","doi":"10.1007/s41742-022-00412-x","title":"Algae for Wastewater Treatment and Production of Biofuels and Bioproducts","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research","topic":"Algal biology and biofuel production","field":"Energy","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lakehead University","funders":"National High-tech Research and Development Program; Natural Science Foundation of Hubei Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Bioproducts; Biofuel; Biomass (ecology); Bioenergy; Biohydrogen; Environmental science; Renewable energy; Algae; Wastewater; Raw material; Sewage treatment; Nutrient; Biotechnology; Waste management; Environmental engineering; Biology; Agronomy; Engineering; Ecology; Hydrogen production","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":[0.0003618199,0.0004722504,0.0002739191,0.0007850836,0.000548394,0.001069808,0.0002536238,0.0006189293,0.001773153],"category_scores_gemma":[0.0002315115,0.0002087479,0.0005135062,0.0008421338,0.0002683853,0.0004810551,0.0007107049,0.0008565706,0.00123944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005605419,"about_ca_system_score_gemma":0.0005180617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009902876,"about_ca_topic_score_gemma":0.002050895,"domain_scores_codex":[0.9997106,0.00004553024,0.0000145266,0.000034459,0.0001476095,0.00004720073],"domain_scores_gemma":[0.9999235,0.00001315386,0.00000764897,0.000008042861,0.00003521343,0.00001250655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009161764,0.00006211285,0.0004585629,0.000276798,0.0000210845,0.0001118881,0.00004748557,0.0005640538,0.9700814,0.00175973,0.0005459563,0.02597944],"study_design_scores_gemma":[0.000007888966,0.0001081749,0.0009780647,0.00002873,0.00002278177,0.0001199083,0.00008221056,0.000909014,0.9742751,0.000827626,0.02263188,0.000008599344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7950742,0.06151971,0.08482003,0.00281414,0.0009650459,0.0001854815,0.001592042,0.000638282,0.05239101],"genre_scores_gemma":[0.9257171,0.02531658,0.02738983,0.000388566,0.00007539366,0.00006377814,0.0006864137,0.00009701439,0.02026528],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001773153,"threshold_uncertainty_score":0.005931795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0439095903729286,"score_gpt":0.3240753838326273,"score_spread":0.2801657934596987,"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."}}