{"id":"W3215667069","doi":"10.1039/d1nr06137b","title":"Serum proteins on nanoparticles: early stages of the “protein corona”","year":2021,"lang":"en","type":"article","venue":"Nanoscale","topic":"Protein Interaction Studies and Fluorescence Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Calgary; St. Michael's Hospital","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; University of Calgary; Ryerson University","keywords":"Nanoparticle; Bovine serum albumin; Fluorescence correlation spectroscopy; Biomolecule; Monolayer; Materials science; Quantum dot; Polystyrene; Fluorescence; Förster resonance energy transfer; Biophysics; Nanotechnology; Chemistry; Molecule; Chromatography; Organic chemistry","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":[],"consensus_categories":[],"category_scores_codex":[0.00007078712,0.0000964397,0.0001231321,0.0000133832,0.0001134359,0.00001487859,0.0001552621,0.00006992377,0.0000801516],"category_scores_gemma":[0.0001095245,0.00006841125,0.0001516655,0.000153409,0.00008583668,0.000003336516,0.0001467666,0.00007784672,0.00001868806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001037695,"about_ca_system_score_gemma":0.00005047964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004184126,"about_ca_topic_score_gemma":0.00008231,"domain_scores_codex":[0.9991816,0.00006956101,0.0001732468,0.0002350282,0.0001803452,0.000160274],"domain_scores_gemma":[0.9992998,0.000006750611,0.00008689891,0.0004314431,0.0001415413,0.00003361324],"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":[0.00003718799,0.00008939743,0.01210113,0.00001032586,0.00005936567,0.000002003316,0.00003577111,0.000008208752,0.9856244,0.0001351088,0.0006016905,0.001295378],"study_design_scores_gemma":[0.0002128472,0.000163872,0.02046838,0.00003873816,0.00001467721,0.00000182079,0.0001190796,0.000003112543,0.9673302,0.00004166957,0.01152499,0.00008062557],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977323,0.0003582046,0.00007184011,0.0007228642,0.00009351299,0.0001804038,0.00002952702,0.000005943805,0.0008053464],"genre_scores_gemma":[0.9934462,0.00004460635,0.0001566703,0.0002485068,0.0000675035,0.00004533603,0.000004377891,0.000009850705,0.005976957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01829425,"threshold_uncertainty_score":0.278973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01007563955010813,"score_gpt":0.2458928051272972,"score_spread":0.235817165577189,"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."}}