{"id":"W7054822561","doi":"","title":"Application of response surface methodology and artificial neural network for optimizing phosphate removal from lagoon wastewater","year":2024,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Response surface methodology; Wastewater; Phosphate; Flocculation; Ferric; Effluent; Sewage treatment; Feedforward neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006445042,0.0006157465,0.0003867169,0.0003418159,0.0001335087,0.0005924377,0.0002530608,0.0004391485,0.0002951374],"category_scores_gemma":[0.00068251,0.0001818157,0.0004950796,0.0004510758,0.0001182079,0.0002915713,0.0002772435,0.0004222866,0.00008238984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006741681,"about_ca_system_score_gemma":0.0005609671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007140118,"about_ca_topic_score_gemma":0.007832824,"domain_scores_codex":[0.9997646,0.00007006049,0.00001971324,0.00004102907,0.00008116594,0.00002340666],"domain_scores_gemma":[0.9998871,0.00004730515,0.0000192527,0.000003983951,0.00003726323,0.000004925297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004979774,0.0006042912,0.006838569,0.0006519583,0.000177675,0.0001680549,0.0001013952,0.6153498,0.181559,0.0005581285,0.000371869,0.1931212],"study_design_scores_gemma":[0.00001719361,0.0005497772,0.003371403,0.00001372364,0.00004556833,0.00002242916,0.00004477825,0.9376081,0.05717909,0.000254903,0.0008739042,0.0000190973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8571603,0.002402593,0.1364456,0.00024254,0.00006684361,0.000163033,0.0001171701,0.0003643252,0.003037567],"genre_scores_gemma":[0.9465959,0.001438886,0.04953685,0.00005571147,0.000009952242,0.000110708,0.0001295671,0.00001401013,0.002108469],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007140118,"threshold_uncertainty_score":0.01419711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122033556718991,"score_gpt":0.2683387786324152,"score_spread":0.2371184430652253,"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."}}