{"id":"W4280506356","doi":"10.3389/fbioe.2022.849831","title":"Hydrogels for Tissue Engineering: Addressing Key Design Needs Toward Clinical Translation","year":2022,"lang":"en","type":"review","venue":"Frontiers in Bioengineering and Biotechnology","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":177,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Key (lock); Translation (biology); Self-healing hydrogels; Tissue engineering; Computer science; Human–computer interaction; Biomedical engineering; Engineering; Chemistry; Chemical engineering; Computer security; Biochemistry","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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001434555,0.0006374395,0.001846917,0.002301773,0.00007072055,0.00006052613,0.0007180878,0.00186691,0.00001736171],"category_scores_gemma":[0.0005046324,0.000657007,0.0002700121,0.001446777,0.0001863858,0.0000728983,0.0001692826,0.002073527,0.000003544307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002949367,"about_ca_system_score_gemma":0.00008837826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002757432,"about_ca_topic_score_gemma":2.51994e-7,"domain_scores_codex":[0.9970104,0.00009770439,0.001117922,0.0006032891,0.000262367,0.0009082975],"domain_scores_gemma":[0.9985127,0.0007282531,0.00009687988,0.0004660473,0.00001393194,0.0001821872],"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":[0.000006133062,0.00001966077,0.00000263052,0.008926349,0.0001794768,0.00001854626,0.00004309708,0.002143103,0.00002844129,0.0000655891,0.0008747849,0.9876922],"study_design_scores_gemma":[0.0003297399,0.0001489064,5.846527e-7,0.001557251,0.0001218601,0.00004079639,0.00002469337,0.08194447,0.0001328609,0.00003801529,0.9150773,0.0005835029],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000007476497,0.6051887,0.3915416,0.00006127221,0.001639041,0.0008197403,0.0000347479,0.0006958408,0.00001165585],"genre_scores_gemma":[0.00006387004,0.8453534,0.153665,0.000004468724,0.0001791306,0.0004520741,0.00008254341,0.0001809925,0.00001855801],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9871087,"threshold_uncertainty_score":0.9995881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.156738826794053,"score_gpt":0.3638605647969012,"score_spread":0.2071217380028482,"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."}}