{"id":"W4401658650","doi":"10.1002/adhm.202401264","title":"Engineering a Microfluidic Platform to Cryopreserve Stem Cells: A DMSO‐Free Sustainable Approach","year":2024,"lang":"en","type":"article","venue":"Advanced Healthcare Materials","topic":"Tissue Engineering and Regenerative Medicine","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Neurological Disorders and Stroke; National Cancer Institute; Canadian Institutes of Health Research; Institute of Musculoskeletal Health and Arthritis; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Institute of Dental and Craniofacial Research; High Performance Research Computing, Texas A and M University; Cancer Prevention and Research Institute of Texas","keywords":"Trehalose; Cryoprotectant; Cryopreservation; Dimethyl sulfoxide; Cell biology; Stem cell; Cell; Cytotoxicity; Biophysics; Chemistry; Biochemistry; Biology; In vitro","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002772255,0.000497154,0.0002375857,0.0003753565,0.0002536309,0.0004187346,0.0004189458,0.0004172177,0.0007997154],"category_scores_gemma":[0.0002563051,0.0002020192,0.0003184704,0.0001563925,0.0002616369,0.0004068005,0.0004408674,0.0004472295,0.0003602351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666783,"about_ca_system_score_gemma":0.00057701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004098639,"about_ca_topic_score_gemma":0.0009183571,"domain_scores_codex":[0.9998072,0.00001428294,0.00001528538,0.0000380141,0.0000981134,0.00002724607],"domain_scores_gemma":[0.9998574,0.00003202542,0.00004486383,0.00001381651,0.00003257914,0.00001933913],"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":[0.0000169337,0.00002458998,0.000157108,0.000108698,0.000009803939,0.0000546919,0.0000198324,0.0008590166,0.992272,0.0007036912,0.0002407274,0.00553292],"study_design_scores_gemma":[0.000008352167,0.0001428428,0.0004797747,0.00001019832,0.00001582183,0.00009598186,0.00001722099,0.003900961,0.9880556,0.0001505918,0.007107547,0.00001508581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6659121,0.006261884,0.314138,0.0009838074,0.0008243137,0.00059346,0.001850916,0.001498998,0.007936606],"genre_scores_gemma":[0.8004458,0.004075281,0.1890565,0.000262394,0.000126177,0.0006013674,0.000968042,0.0001056723,0.004358791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007997154,"threshold_uncertainty_score":0.003385961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02039891960452455,"score_gpt":0.2815552967791182,"score_spread":0.2611563771745936,"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."}}