{"id":"W4404338180","doi":"10.51415/10321/5657","title":"Synthesis and characterization of electrospun-based composite for the remediation of pharmaceutical pollutants in wastewater","year":2024,"lang":"en","type":"dissertation","venue":"","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Mitacs; Fonds National de la Recherche Luxembourg; Mintek","keywords":"Environmental remediation; Pollutant; Wastewater; Characterization (materials science); Composite number; Waste management; Water pollutants; Materials science; Chemistry; Nanotechnology; Composite material; Engineering; Environmental chemistry; Contamination; Organic chemistry; Ecology","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":[0.0002477785,0.0003164795,0.0001926291,0.000565089,0.000187186,0.0002789999,0.0002087081,0.0005426642,0.0009510113],"category_scores_gemma":[0.0003393739,0.0001662758,0.0003104873,0.0002852146,0.000155532,0.0002695958,0.0001724135,0.0003511812,0.0003516323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001720091,"about_ca_system_score_gemma":0.0002172018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002450945,"about_ca_topic_score_gemma":0.0008631936,"domain_scores_codex":[0.9998129,0.00001155837,0.00001609268,0.00005114254,0.00008936727,0.00001888277],"domain_scores_gemma":[0.9998,0.00004575514,0.00005883061,0.00001317462,0.0000618655,0.00002034757],"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":[0.00001914927,0.00001805156,0.0001005144,0.000102958,0.000004581699,0.00007116373,0.00001329597,0.0002779365,0.9959496,0.00005450533,0.00004559536,0.003342551],"study_design_scores_gemma":[0.000006438959,0.0001616304,0.002338735,0.00001135463,0.00001069822,0.0001525307,0.00001898745,0.001677965,0.9936863,0.00005154689,0.00187356,0.00001042616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9456714,0.004413508,0.04230494,0.0001859629,0.0001212604,0.0001932819,0.0009373403,0.0004958395,0.005676277],"genre_scores_gemma":[0.9621145,0.00141905,0.03226782,0.000110029,0.00002637347,0.0002024375,0.0004755591,0.00005397477,0.003330189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009510113,"threshold_uncertainty_score":0.003181458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01344379289810824,"score_gpt":0.2761278893890047,"score_spread":0.2626840964908965,"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."}}