{"id":"W4367018113","doi":"10.5004/dwt.2023.29316","title":"Treatment of wastewater from Azilal (Morocco) using microalgae: comparing indoor and outdoor cultures and biomass harvesting by coagulation–flocculation","year":2023,"lang":"en","type":"article","venue":"Desalination and Water Treatment","topic":"Algal biology and biofuel production","field":"Energy","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Flocculation; Biomass (ecology); Effluent; Sedimentation; Pulp and paper industry; Wastewater; Environmental science; Chemical oxygen demand; Sewage treatment; Total suspended solids; Environmental engineering; Chemistry; Biology; Agronomy; 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":[0.0002118593,0.0006472878,0.0005464553,0.0002670183,0.0004160258,0.000574313,0.0001856315,0.0003327175,0.0005032195],"category_scores_gemma":[0.0001518334,0.0000955514,0.0004997265,0.0002105899,0.0001691943,0.0002309005,0.0003962549,0.00030003,0.0002027363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003821563,"about_ca_system_score_gemma":0.0002793699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393815,"about_ca_topic_score_gemma":0.007762004,"domain_scores_codex":[0.9998154,0.00003048049,0.00001834093,0.00004696858,0.00004920364,0.00003956422],"domain_scores_gemma":[0.9999284,0.00001147981,0.00001828437,0.000006417743,0.00002107673,0.00001444115],"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":[0.00007683561,0.00004089435,0.001024775,0.0001081019,0.00001164607,0.00009694349,0.00004888354,0.00008521196,0.9961321,0.000009276664,0.00001931867,0.002346027],"study_design_scores_gemma":[0.00001042636,0.0009600639,0.03031797,0.00002160012,0.00005288661,0.0001863321,0.0002368304,0.0004903316,0.9662978,0.00001841136,0.001394509,0.00001281639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980227,0.000758921,0.0004582343,0.00004716982,0.00001897156,0.00001901169,0.0000846175,0.000009899589,0.0005805469],"genre_scores_gemma":[0.9950742,0.0007994627,0.002598694,0.00005521334,0.0000157581,0.00003184357,0.0002060053,0.000007752922,0.001211046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003393815,"threshold_uncertainty_score":0.00674814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03990223030122782,"score_gpt":0.2790368576966675,"score_spread":0.2391346273954396,"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."}}