{"id":"W2888157307","doi":"10.1021/acsanm.8b01099","title":"Targeted Nanoparticle Binding to Hydroxyapatite in a High Serum Environment for Early Detection of Heart Disease","year":2018,"lang":"en","type":"article","venue":"ACS Applied Nano Materials","topic":"Nanoparticle-Based Drug Delivery","field":"Materials Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Heart, Lung, and Blood Institute; Boston University","keywords":"Nanoparticle; Biophysics; Plasma protein binding; Chemistry; In vivo; Peptide; Binding protein; Binding selectivity; Protein–protein interaction; Nanotechnology; Computational biology; Biochemistry; Materials science; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008021902,0.0002267899,0.0004034183,0.0001926667,0.0001302533,0.00008488475,0.0002396523,0.00008008292,0.0003601528],"category_scores_gemma":[0.0000677263,0.0002263248,0.00003354393,0.0002848293,0.0001214734,0.0001905477,0.0001560393,0.00002874181,0.000890448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310014,"about_ca_system_score_gemma":0.00004412242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001766384,"about_ca_topic_score_gemma":0.00001919378,"domain_scores_codex":[0.9977983,0.00009609867,0.000664302,0.0005383191,0.0003163422,0.0005866914],"domain_scores_gemma":[0.9989945,0.00008473057,0.0001941248,0.0004810577,0.0000480734,0.0001975719],"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":[0.001150486,0.0001410095,0.0005109289,0.000049713,0.000004903528,0.000001680846,0.0002074276,0.0001046153,0.997475,0.000170952,0.00005038722,0.0001328809],"study_design_scores_gemma":[0.001131712,0.0003422213,0.009699812,0.00003712833,0.000026295,4.854541e-7,0.00002557197,0.00001092378,0.9877751,0.0004837735,0.0002110189,0.0002559496],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972844,0.00001132138,0.0002062376,0.0001745134,0.0004768452,0.001434214,0.0003274345,0.0000807343,0.000004338836],"genre_scores_gemma":[0.9973193,0.000001518697,0.001643901,0.0002120016,0.0001500316,0.0005833307,0.00001115798,0.00004738179,0.00003135475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009699907,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008907075813074924,"score_gpt":0.2145357905954814,"score_spread":0.2056287147824065,"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."}}