{"id":"W2009386567","doi":"10.1016/j.watres.2007.08.040","title":"Extending and calibrating a mechanistic hindered and compression settling model for activated sludge using in-depth batch experiments","year":2007,"lang":"en","type":"article","venue":"Water Research","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Settling; Suspended solids; Activated sludge; Wastewater; Compression (physics); Total suspended solids; Chemistry; Mixed liquor suspended solids; Total dissolved solids; Materials science; Environmental science; Environmental engineering; Composite material","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009819256,0.0001289256,0.0001374252,0.0001206293,0.0003627907,0.00009111891,0.000093769,0.00007029049,0.00003184137],"category_scores_gemma":[0.00001320756,0.00009220123,0.00001756925,0.0001058694,0.00009274983,0.0002535061,0.0003855249,0.0001491353,0.000004201267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001725251,"about_ca_system_score_gemma":0.000006036047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000369144,"about_ca_topic_score_gemma":0.00005518011,"domain_scores_codex":[0.9984038,0.00007640633,0.0001829902,0.0003736978,0.0003249143,0.0006381315],"domain_scores_gemma":[0.9996793,0.00004985746,0.00002020874,0.0001116442,0.000009248886,0.0001297662],"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":[0.0001418015,0.00004440088,0.005392909,0.00001852159,0.000006866379,0.00002146794,0.0025677,0.0004666396,0.9902024,0.00001219775,0.000005258904,0.001119896],"study_design_scores_gemma":[0.000675377,0.00003991274,0.0004054566,0.00003657744,0.000003300119,0.000008736735,0.0003765602,0.3351755,0.6623079,0.0008726442,0.000006977046,0.00009110057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944226,0.00003930974,0.004900446,0.00003159613,0.00001849391,0.0004721814,0.000002987935,0.00001730396,0.00009503842],"genre_scores_gemma":[0.9786301,0.000004041668,0.02110506,0.0000104074,0.00001613425,0.00001767267,0.00001160696,0.00002368045,0.0001812932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3347088,"threshold_uncertainty_score":0.3759857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1403863613502079,"score_gpt":0.3811352783542403,"score_spread":0.2407489170040324,"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."}}