{"id":"W4382049133","doi":"10.1021/prechem.3c00056","title":"Engineered Nano–Bio Interfaces for Stem Cell Therapy","year":2023,"lang":"en","type":"review","venue":"Precision Chemistry","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology","funders":"National Key Research and Development Program of China; Chinese Academy of Medical Sciences; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Stem cell; Extracellular matrix; Nanotechnology; Cell biology; Mesenchymal stem cell; Nanotopography; Chemistry; Regenerative medicine; Materials science; Nanopillar; Cellular differentiation; Biophysics; Biology; Biochemistry; Nanostructure","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":[0.0002863734,0.000724096,0.001573858,0.00009349303,0.00003358504,0.0001167249,0.0006722122,0.0006659226,0.0001922741],"category_scores_gemma":[0.00003091707,0.000663321,0.0003937131,0.0002474118,0.00001550336,0.00006064088,0.0001008963,0.0003157067,0.0003552862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000155884,"about_ca_system_score_gemma":0.00004339872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.64881e-7,"about_ca_topic_score_gemma":5.513857e-8,"domain_scores_codex":[0.998002,0.00001746429,0.0008291518,0.0004805502,0.0002161651,0.0004546978],"domain_scores_gemma":[0.9985391,0.0004742755,0.0001280269,0.0006934528,0.00004015849,0.0001249444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005788039,0.00001681246,1.060577e-8,0.06670644,0.00020406,0.000004624965,0.00005451018,0.001218132,0.01694037,8.123196e-7,0.00928237,0.9055661],"study_design_scores_gemma":[0.0002000476,0.00001045199,2.470144e-8,0.005752964,0.00008915701,0.000006875655,0.00000544171,0.0003156928,0.1292057,0.000009786324,0.8638223,0.0005815643],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002286672,0.9935045,0.001262456,0.000001740747,0.001647025,0.0008958959,0.0003650063,0.001729949,0.0003647457],"genre_scores_gemma":[0.00008598279,0.9913869,0.0006342311,9.247515e-7,0.0004876159,0.0007178169,0.0002182631,0.000465184,0.006003083],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9049845,"threshold_uncertainty_score":0.9995818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05559510281325378,"score_gpt":0.2939234322772989,"score_spread":0.2383283294640452,"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."}}