{"id":"W2077001106","doi":"10.1139/s08-009","title":"Application of carbon dioxide stripping for struvite crystallization — I: Development of a carbon dioxide stripper model to predict CO<sub>2</sub> removal and pH changes","year":2008,"lang":"en","type":"article","venue":"Journal of Environmental Engineering and Science","topic":"Phosphorus and nutrient management","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Alkalinity; Carbon dioxide; Stripping (fiber); Struvite; Effluent; Aeration; Chemistry; Pulp and paper industry; Volumetric flow rate; Decomposition; Environmental engineering; Wastewater; Environmental science; Materials science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004439675,0.0001272275,0.0001954436,0.0001326368,0.00008775182,0.000007106177,0.0001571079,0.00003213065,9.451192e-7],"category_scores_gemma":[0.00002811403,0.0001193842,0.00002620425,0.0001831706,0.0001789173,0.0001582817,0.0001294848,0.00006188225,9.114652e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000199949,"about_ca_system_score_gemma":0.00001857865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008253804,"about_ca_topic_score_gemma":0.000002445333,"domain_scores_codex":[0.9987133,0.000005938262,0.0003519615,0.0002186585,0.0005060706,0.0002040574],"domain_scores_gemma":[0.999495,0.00002205229,0.0002207028,0.000108194,0.000008097826,0.0001459788],"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":[0.00003106541,0.00004370779,0.00464572,0.00002376455,0.000008243531,0.000001273306,0.0005962834,0.07924956,0.9111737,0.000007078047,0.000001646572,0.004217934],"study_design_scores_gemma":[0.0004451508,0.0002084863,0.05357224,0.00006487374,0.00001932788,0.00002874707,0.0001116421,0.1761084,0.7690328,0.00001345991,0.0002431899,0.0001516812],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712159,0.0001491156,0.02828584,0.00002161637,0.00003183135,0.000250586,0.000008660705,0.000005067488,0.0000313741],"genre_scores_gemma":[0.9921395,0.0003286669,0.007479135,0.00001089382,0.00001356173,0.000009215979,0.000001256273,0.000009681879,0.000008129213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1421409,"threshold_uncertainty_score":0.4868346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008534113689308261,"score_gpt":0.188071006013346,"score_spread":0.1795368923240378,"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."}}