{"id":"W2775098899","doi":"10.1016/j.algal.2017.11.013","title":"Wastewater and waste CO2 for sustainable biofuels from microalgae","year":2017,"lang":"en","type":"article","venue":"Algal Research","topic":"Algal biology and biofuel production","field":"Energy","cited_by":117,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"Università degli Studi di Brescia; Natural Sciences and Engineering Research Council of Canada; Queen's University; Canada Research Chairs","keywords":"Biofuel; Environmental science; Biomass (ecology); Wastewater; Life-cycle assessment; Flue gas; Fossil fuel; Waste management; Bioenergy; Sewage treatment; Sustainability; Ecological footprint; Environmental engineering; Production (economics); Ecology; Engineering; Biology","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":[0.0004619144,0.0003879339,0.0003241829,0.0006211657,0.0005189298,0.001380368,0.0003424201,0.0008224875,0.002283316],"category_scores_gemma":[0.000327963,0.000254829,0.000325295,0.0004450309,0.0003013142,0.001197606,0.0006683663,0.0006023498,0.0006813285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009107218,"about_ca_system_score_gemma":0.0006582632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001551319,"about_ca_topic_score_gemma":0.002995239,"domain_scores_codex":[0.9997714,0.00003557641,0.00001958128,0.00002999946,0.00009336782,0.0000501861],"domain_scores_gemma":[0.9999322,0.00001595352,0.000005835448,0.000006406742,0.00002637996,0.00001323244],"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":[0.0007961111,0.0001546361,0.001574023,0.0005250699,0.00002990775,0.000260742,0.00006923269,0.00242355,0.957534,0.00476101,0.001033508,0.03083821],"study_design_scores_gemma":[0.00001217834,0.00007147503,0.0007528279,0.00001965558,0.00001225301,0.00009125281,0.0001245376,0.003566843,0.9877083,0.00133115,0.006300988,0.000008569707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615189,0.01480484,0.009363984,0.001463385,0.000405846,0.00003619062,0.0003286547,0.00009873092,0.01197946],"genre_scores_gemma":[0.9828736,0.003961881,0.002969427,0.0001548411,0.00003974252,0.00001707515,0.0003301286,0.00003788292,0.009615507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002283316,"threshold_uncertainty_score":0.007638395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06138787445729366,"score_gpt":0.3508824800915969,"score_spread":0.2894946056343032,"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."}}