{"id":"W4410291514","doi":"10.1016/j.jhazmat.2025.138611","title":"Efficient ribavirin removal from medical wastewater by microalgae-centric: Microbial biological action and application of double-layer network hydrogel","year":2025,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Innovative Microfluidic and Catalytic Techniques Innovation","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Science Foundation of Anhui Province; Canadian Anesthesiologists' Society","keywords":"Wastewater; Ribavirin; Layer (electronics); Chemistry; Sewage treatment; Pulp and paper industry; Waste management; Biochemical engineering; Chemical engineering; Environmental science; Environmental engineering; Engineering; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009564465,0.0003047946,0.000179641,0.0001209068,0.0001132896,0.0003018775,0.0001627471,0.0002826478,0.0004493011],"category_scores_gemma":[0.00008012742,0.000114078,0.0002889771,0.00008695783,0.00009817108,0.0002437638,0.0002908907,0.0002391887,0.0001497369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002208423,"about_ca_system_score_gemma":0.0002053107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005646276,"about_ca_topic_score_gemma":0.001576628,"domain_scores_codex":[0.9999117,0.000008266044,0.000006414424,0.00002303075,0.00002653315,0.00002396677],"domain_scores_gemma":[0.9999536,0.000007060134,0.0000149851,0.000004281199,0.000008837675,0.00001113079],"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":[0.00002130142,0.000009675767,0.00003810096,0.00001940295,0.000002175861,0.00001084469,0.000003726454,0.00007028614,0.9987896,0.00002045086,0.00001504361,0.0009993582],"study_design_scores_gemma":[0.000003348058,0.0000570673,0.000344739,0.000001301508,0.000005205393,0.00002119302,0.000007356493,0.0009584348,0.998245,0.000004482018,0.0003490018,0.000002765597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907292,0.001051527,0.005914511,0.0001011078,0.00003643187,0.00002290221,0.0001128823,0.00008231844,0.001949192],"genre_scores_gemma":[0.993066,0.0004195772,0.004708655,0.00004065968,0.000006232177,0.00001446401,0.000052074,0.00001096512,0.00168126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005646276,"threshold_uncertainty_score":0.001602292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01135941020069632,"score_gpt":0.250491316528719,"score_spread":0.2391319063280227,"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."}}