{"id":"W4316663511","doi":"10.3390/membranes13010117","title":"Investigation on Human Serum Protein Depositions Inside Polyvinylidene Fluoride-Based Dialysis Membrane Layers Using Synchrotron Radiation Micro-Computed Tomography (SR-μCT)","year":2023,"lang":"en","type":"article","venue":"Membranes","topic":"Polymer Surface Interaction Studies","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Canadian Light Source (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan; Canadian Light Source","keywords":"Membrane; Protein adsorption; Polyvinylidene fluoride; Adsorption; Human serum albumin; Chemistry; Fourier transform infrared spectroscopy; Attenuated total reflection; Chromatography; Materials science; Analytical Chemistry (journal); Chemical engineering; Infrared spectroscopy; Organic chemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004940993,0.0003833479,0.0004590747,0.0009847288,0.0009087961,0.0002534662,0.0002826129,0.0001373319,0.0001516186],"category_scores_gemma":[0.0001176103,0.0003920207,0.0002146878,0.001562171,0.0001924065,0.0005653949,0.00008098339,0.0001885696,0.0003310882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142264,"about_ca_system_score_gemma":0.0001020614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333777,"about_ca_topic_score_gemma":0.0002209461,"domain_scores_codex":[0.9971451,0.000402756,0.0006391245,0.0006672476,0.0005935557,0.000552276],"domain_scores_gemma":[0.9985865,0.0002568409,0.0003634327,0.0004926869,0.000141704,0.0001588217],"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":[0.00005320274,0.00004276052,0.002217158,0.0001202542,0.00006635609,0.0000177754,0.0003561939,0.01242446,0.9842864,0.00002602557,0.0001167088,0.0002727199],"study_design_scores_gemma":[0.000730024,0.00008382861,0.01146559,0.0002265203,0.0001003867,0.000007242092,0.0001314784,0.004525456,0.9821568,0.0000881601,0.0000928067,0.0003917413],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959085,0.0001871043,0.0002522872,0.001243605,0.0007400631,0.0006695797,0.00008117012,0.0008273621,0.00009035361],"genre_scores_gemma":[0.9977981,0.000009715272,0.001136611,0.0003795575,0.0002345441,0.000147762,0.0001241335,0.00006004891,0.0001095553],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009248436,"threshold_uncertainty_score":0.9998532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0466142187767274,"score_gpt":0.2851058762594555,"score_spread":0.2384916574827282,"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."}}