{"id":"W4412775662","doi":"10.18280/ijdne.200606","title":"Synthesis, Characterization, and Evaluation of Nano MgO/bentonite Composite for Efficient AMOX Adsorption from Wastewater","year":2025,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Magnesium Oxide Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Bentonite; Adsorption; Composite number; Characterization (materials science); Wastewater; Nano-; Materials science; Chemical engineering; Nanotechnology; Environmental science; Composite material; Chemistry; Environmental engineering; Engineering; Physical chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001755978,0.0002407921,0.0002060624,0.0002809986,0.000168762,0.0002387945,0.0002153357,0.0003524055,0.0004678727],"category_scores_gemma":[0.0001626584,0.0001626844,0.0002831722,0.0001429036,0.0001193728,0.0001821331,0.0001474694,0.0002173611,0.0001578933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002039072,"about_ca_system_score_gemma":0.0001576219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008055952,"about_ca_topic_score_gemma":0.002260048,"domain_scores_codex":[0.9998674,0.000009758798,0.00001400614,0.00002649794,0.00006328157,0.00001888463],"domain_scores_gemma":[0.9999045,0.00001494825,0.00002255016,0.000008675219,0.0000347122,0.00001469569],"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":[0.00002710904,0.00001147128,0.0001116751,0.00003598687,0.000002461805,0.0000166835,0.000006816489,0.00008995368,0.9987056,0.00001422574,0.00001159522,0.0009662759],"study_design_scores_gemma":[0.000004249327,0.0001161812,0.001815211,0.000002545484,0.000009264423,0.00003859948,0.00001387493,0.001266765,0.9961126,0.00001152486,0.0006045546,0.000004503254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932039,0.0005777327,0.005041027,0.00004954199,0.00001992828,0.00003341264,0.0001591072,0.00006961852,0.0008457957],"genre_scores_gemma":[0.9934058,0.0002603193,0.004688249,0.00002275487,0.000004327095,0.00001954282,0.0001314516,0.0000137057,0.001453789],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008055952,"threshold_uncertainty_score":0.001601875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01268917330704621,"score_gpt":0.2627492420009821,"score_spread":0.2500600686939359,"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."}}