{"id":"W3188265373","doi":"10.1002/bip.23468","title":"Effect of amino acid composition of e<scp>lastin‐like</scp> polypeptide nanoparticles on nonspecific protein adsorption, macrophage cell viability and phagocytosis","year":2021,"lang":"en","type":"article","venue":"Biopolymers","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; King Saud University; Alberta Innovates - Technology Futures","keywords":"Chemistry; Phagocytosis; Biocompatibility; Protein adsorption; Biomaterial; Macrophage; Amino acid; Valine; Biochemistry; Biophysics; Nanoparticle; Adsorption; Cell biology; In vitro; Nanotechnology; Biology; Materials science","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":[0.000240124,0.0001729213,0.000236878,0.00006400571,0.0000564923,0.0000130348,0.0001130707,0.0001165052,0.00003597826],"category_scores_gemma":[0.0001802384,0.000169262,0.0001014653,0.0001995537,0.0003194242,0.000005591301,0.0001139266,0.00008330362,0.000008048457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002013913,"about_ca_system_score_gemma":0.00005909196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004597831,"about_ca_topic_score_gemma":0.00001240255,"domain_scores_codex":[0.9985282,0.0003515242,0.0002410241,0.0004222045,0.0002132915,0.0002437076],"domain_scores_gemma":[0.9992071,0.0001009137,0.0001119428,0.0003518711,0.0001350317,0.00009318234],"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":[0.0002535896,0.0002297421,0.006164818,0.0002403153,0.00004196113,0.000004056106,0.00006534324,0.000002667276,0.9893905,0.0000162216,0.00006563736,0.003525177],"study_design_scores_gemma":[0.001013561,0.001509584,0.005228581,0.00003468261,0.00002424082,0.00000419221,0.0001661441,0.00002074527,0.9917553,0.000005803306,0.0001649116,0.00007223242],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954017,0.003461801,0.00006709346,0.00003371487,0.00004388819,0.0003926474,0.00006659562,0.000009237077,0.000523266],"genre_scores_gemma":[0.9993303,0.00006190479,0.00009691492,0.00001217179,0.00002725945,0.0000404678,0.00007307748,0.00001993518,0.0003379385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003928574,"threshold_uncertainty_score":0.6902304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00742564601942141,"score_gpt":0.2518254597366318,"score_spread":0.2443998137172104,"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."}}