{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004103626,0.0004123205,0.0001997731,0.0003868468,0.0001628357,0.0005758178,0.0003295166,0.0008258573,0.002694488],"category_scores_gemma":[0.0002814458,0.0001744099,0.0002945042,0.0001829028,0.0002628561,0.0007330099,0.0003634981,0.0007008871,0.001178921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004692399,"about_ca_system_score_gemma":0.0002714021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002205365,"about_ca_topic_score_gemma":0.0003619253,"domain_scores_codex":[0.999777,0.0000470219,0.00001506429,0.00003183567,0.0001048348,0.00002424463],"domain_scores_gemma":[0.9998492,0.0000454007,0.00003760392,0.00001392771,0.00003794923,0.0000159494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004692517,0.00007163276,0.0002704182,0.0006482659,0.00002436485,0.0001341179,0.0000465078,0.001811886,0.9208592,0.01456713,0.002215728,0.05930393],"study_design_scores_gemma":[0.00002975626,0.0002785851,0.0009956963,0.0001270507,0.00004117811,0.00055266,0.00007448753,0.01121321,0.7676984,0.009114787,0.2098333,0.00004092384],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.2020461,0.2236221,0.4908164,0.004029573,0.002675217,0.0007690025,0.001142598,0.00189443,0.07300455],"genre_scores_gemma":[0.6915174,0.04883958,0.2328143,0.002811983,0.000434117,0.0005865546,0.001069976,0.0002783797,0.02164787],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002694488,"threshold_uncertainty_score":0.009013951,"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."}}