{"id":"W2955503367","doi":"10.1002/wer.1170","title":"The impact of chemically enhanced primary treatment on the downstream liquid and solid train processes","year":2019,"lang":"en","type":"article","venue":"Water Environment Research","topic":"Extraction and Separation Processes","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; City, University of London","keywords":"Downstream (manufacturing); Primary (astronomy); Chemistry; Downstream processing; Waste management; Environmental science; Environmental chemistry; Chemical engineering; Chromatography; Engineering; Operations management; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002968653,0.0001083246,0.0001038405,0.00003489375,0.0001027442,0.00004061704,0.0001240344,0.0000418304,0.0003931464],"category_scores_gemma":[0.00001354355,0.00004413976,0.00003477683,0.00005196944,0.000117629,0.00006732326,0.00002864074,0.0001431963,0.0001712354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001425994,"about_ca_system_score_gemma":0.0000256605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008937953,"about_ca_topic_score_gemma":0.0000020429,"domain_scores_codex":[0.9991217,0.00004441553,0.0001443339,0.0001417436,0.0002880021,0.0002597736],"domain_scores_gemma":[0.9994633,0.0002295453,0.00001357373,0.0002272398,0.00001893201,0.00004740054],"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":[0.0001377724,0.00009000575,0.00007217214,0.00005385783,0.00005828337,4.435055e-7,0.001004561,0.003236308,0.9928572,0.0000200215,0.0002776907,0.002191747],"study_design_scores_gemma":[0.0002110397,0.0006260311,0.000699064,0.00001293579,0.000002650421,0.00000143036,0.0001283975,0.00024604,0.9913746,0.00007489866,0.006558893,0.00006405981],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861732,0.0001904051,0.0000212411,0.0003768996,0.00001223184,0.0003621918,0.000004624366,0.00001995469,0.01283926],"genre_scores_gemma":[0.9941875,0.00240047,0.000007260642,0.000008758965,0.00002131634,0.00009907239,0.00001068232,0.00001353366,0.003251438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009587819,"threshold_uncertainty_score":0.4304678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357217649261514,"score_gpt":0.302629135123003,"score_spread":0.2790569586303879,"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."}}