{"id":"W3217559849","doi":"10.3390/ijerph182212250","title":"Comment on Khairul Zaman et al. Eco-Friendly Coagulant versus Industrially Used Coagulants: Identification of Their Coagulation Performance, Mechanism and Optimization in Water Treatment Process. Int. J. Environ. Res. Public Health 2021, 18, 9164","year":2021,"lang":"en","type":"letter","venue":"International Journal of Environmental Research and Public Health","topic":"Coagulation and Flocculation Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Coagulation; CLARITY; Process (computing); Public health; Chitosan; Identification (biology); Business; Computer science; Chemistry; Medicine; Engineering; Psychiatry; Chemical 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004339411,0.0003701221,0.0006674364,0.0008718187,0.0003155546,0.0002559519,0.0003937241,0.0002551652,0.001033397],"category_scores_gemma":[0.0001454521,0.0002933005,0.00009886033,0.0002591074,0.0004218127,0.0008511871,0.0003414932,0.001109022,0.00001372086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002623445,"about_ca_system_score_gemma":0.0003999719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002512434,"about_ca_topic_score_gemma":0.0000911995,"domain_scores_codex":[0.9935552,0.001157031,0.001605498,0.0006026284,0.002389909,0.0006897632],"domain_scores_gemma":[0.9977707,0.0003754838,0.001075673,0.0003031116,0.0001137224,0.0003613563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003316389,0.01088947,0.07488973,0.0004632118,0.002426278,0.0002774922,0.02420561,0.01989475,0.002301739,0.0008700324,0.504333,0.3561322],"study_design_scores_gemma":[0.01095388,0.006087498,0.04621946,0.0004555822,0.0000218006,0.0001161461,0.004003584,0.01171003,0.0009093176,0.0004118127,0.9183351,0.0007757312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2839051,0.0003894954,0.0008241703,0.7131884,0.0004818289,0.0008527145,0.0002284577,0.000008513826,0.000121422],"genre_scores_gemma":[0.9299647,0.01765302,0.0002398249,0.04991122,0.000262245,0.00005468205,0.001719084,0.00004762562,0.0001475563],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6632771,"threshold_uncertainty_score":0.9999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1431324814592992,"score_gpt":0.370515069494264,"score_spread":0.2273825880349648,"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."}}