{"id":"W4408157007","doi":"10.1007/s42114-025-01212-5","title":"In-situ deposition of β-FeOOH nanoparticles on commercially available filter paper for fast and efficient removal of antibiotic","year":2025,"lang":"en","type":"article","venue":"Advanced Composites and Hybrid Materials","topic":"Nanomaterials for catalytic reactions","field":"Chemistry","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Deposition (geology); In situ; Nanoparticle; Filter (signal processing); Materials science; Nanotechnology; Chemistry; Computer science; Geology; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.0001054337,0.0001398343,0.0003958737,0.00007540753,0.0000610231,0.00003388311,0.00007222514,0.00003880158,0.00005371418],"category_scores_gemma":[0.00002432455,0.0001322137,0.00003466305,0.00005193831,0.00008895232,0.00007458437,0.00006192539,0.00002510562,0.000001950515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002308356,"about_ca_system_score_gemma":0.00001677272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004693808,"about_ca_topic_score_gemma":0.000007417197,"domain_scores_codex":[0.9990605,0.00001654047,0.0004484605,0.0002329302,0.00007324967,0.0001683459],"domain_scores_gemma":[0.9994033,0.0001452709,0.0001674811,0.0002030695,0.00005168159,0.00002918483],"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":[0.0005297669,0.0001509163,0.00008050475,0.0006662518,0.00002941974,0.000006470132,0.00002953699,0.00007807944,0.996445,0.00120397,0.00004305578,0.000737044],"study_design_scores_gemma":[0.001165464,0.00008497778,0.0005761939,0.0004408229,0.00005503312,0.00003502479,0.00002258096,0.00006200314,0.9968087,0.000346006,0.0002902896,0.000112895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979298,0.0002355836,0.00005010478,0.0001004064,0.0001649455,0.0002194713,0.0001926083,0.00001602817,0.001091099],"genre_scores_gemma":[0.9977099,0.0000642132,0.001897204,0.00006168252,0.00002026799,0.00001428838,0.0000496655,0.0000132482,0.0001695412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001847099,"threshold_uncertainty_score":0.5391517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007799378469572161,"score_gpt":0.2401748404981293,"score_spread":0.2323754620285571,"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."}}