{"id":"W4200447367","doi":"10.1002/jemt.24014","title":"Biocompatible <scp>Nanotube‐Strontium</scp>/polydopamine‐arginine–glycine–aspartic acid coating on <scp>Ti6Al4V</scp> enhances osteogenic properties for biomedical applications","year":2021,"lang":"en","type":"article","venue":"Microscopy Research and Technique","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Education and Child Care","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; National Natural Science Foundation of China","keywords":"RUNX2; Biocompatibility; Materials science; Alkaline phosphatase; Fourier transform infrared spectroscopy; Surface modification; Mesenchymal stem cell; Osteopontin; X-ray photoelectron spectroscopy; Nuclear chemistry; Chemistry; Chemical engineering; Biochemistry; Enzyme; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008936835,0.0003868541,0.0005123384,0.0004078643,0.0003342212,0.0002921079,0.0003963247,0.0002684165,0.00001909772],"category_scores_gemma":[0.0006094103,0.0003717715,0.00008122446,0.0008036494,0.0003227068,0.0001641539,0.0001898335,0.0005393199,0.00006713451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001275026,"about_ca_system_score_gemma":0.0001423789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002837324,"about_ca_topic_score_gemma":0.00001746203,"domain_scores_codex":[0.997157,0.000101496,0.0005408421,0.0006185127,0.0004274563,0.00115464],"domain_scores_gemma":[0.9981909,0.0005749929,0.00005766444,0.0006013934,0.000263297,0.0003116957],"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":[0.000006075082,0.0001100505,0.00003879265,0.000781958,0.00005041015,0.000009663429,0.0002166634,0.00005981398,0.9918296,0.0001959562,0.005690424,0.001010597],"study_design_scores_gemma":[0.0004071193,0.0004278139,0.00004230913,0.0003322929,0.00001459502,0.00002744356,0.0002596953,0.0007483514,0.941762,0.0002025501,0.0556732,0.0001025896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.876996,0.008473601,0.1080444,0.0001404576,0.0002934446,0.003630011,0.0002669885,0.00125186,0.0009032402],"genre_scores_gemma":[0.9635909,0.0005075322,0.0269639,0.00002039972,0.00035091,0.006142407,0.0001491599,0.0001593682,0.002115388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08659493,"threshold_uncertainty_score":0.9998734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03157837946859027,"score_gpt":0.3046231962267072,"score_spread":0.273044816758117,"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."}}