{"id":"W4386878203","doi":"10.1002/mabi.202300133","title":"Adsorption Dynamics of Uremic Toxins to Novel Modified Magnetic Nanoparticles","year":2023,"lang":"en","type":"article","venue":"Macromolecular Bioscience","topic":"Dialysis and Renal Disease Management","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Chemistry; Adsorption; Thermogravimetric analysis; Gel permeation chromatography; Fourier transform infrared spectroscopy; Permeation; Chromatography; Nanoparticle; Nuclear chemistry; Polymer; Chemical engineering; Organic chemistry; Membrane; Nanotechnology; Materials science; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001004839,0.000162686,0.0001376777,0.0001040872,0.000132692,0.0001986002,0.000201466,0.0002378903,0.0007991959],"category_scores_gemma":[0.0002147233,0.00009581847,0.0001190526,0.00006946737,0.0001440465,0.0002500964,0.0001214017,0.0002650288,0.0001901881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003061961,"about_ca_system_score_gemma":0.00007771717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007476599,"about_ca_topic_score_gemma":0.0006899093,"domain_scores_codex":[0.9999295,0.000007109326,0.000003301141,0.00002222454,0.00001877962,0.00001888834],"domain_scores_gemma":[0.9999194,0.00002188268,0.00002098561,0.000006123372,0.00002159936,0.00001000699],"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":[0.00006010066,0.00001855332,0.0002120577,0.00002783033,0.000006493918,0.00003633742,0.00003276091,0.0004133537,0.9979474,0.0001272551,0.0000669875,0.001050867],"study_design_scores_gemma":[0.000008339554,0.0001709423,0.002194802,0.0000045096,0.000009901634,0.00004421544,0.00002948205,0.01147658,0.9848996,0.00006105496,0.001092928,0.000007737796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972435,0.0002412759,0.001792582,0.00002977274,0.00001207405,0.000007657832,0.00003740954,0.00002827598,0.0006073641],"genre_scores_gemma":[0.9973724,0.0001529117,0.001129845,0.00003562265,0.000005911379,0.00001230012,0.00007866257,0.00001182264,0.001200493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007991959,"threshold_uncertainty_score":0.002673626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01602249438412473,"score_gpt":0.2616675491899024,"score_spread":0.2456450548057777,"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."}}