{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004616442,0.0003491017,0.0006706806,0.0003515536,0.0000963409,0.00007744731,0.0001908274,0.0001557278,0.00006814775],"category_scores_gemma":[0.00008210123,0.0002829915,0.00007515742,0.000517186,0.00002647081,0.0001616227,0.0001410901,0.0002668614,0.00008030253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003645516,"about_ca_system_score_gemma":0.0001745798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001778632,"about_ca_topic_score_gemma":0.00000189317,"domain_scores_codex":[0.9977747,0.00003273496,0.0005054033,0.0005735019,0.0003131724,0.0008005099],"domain_scores_gemma":[0.9986507,0.0000681931,0.00003753812,0.0006270703,0.0001511103,0.0004654242],"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":[0.0001622493,0.00004190266,0.000006831768,0.009771633,0.0000840617,0.0005046795,0.001481903,0.0006416735,0.9688636,0.008070065,0.007679638,0.002691751],"study_design_scores_gemma":[0.001007914,0.0006550831,0.00008112108,0.001555779,0.00006018941,0.0002254922,0.001224319,0.000269575,0.7490861,0.00007053669,0.2453848,0.0003790302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8727478,0.09027404,0.02178044,0.006991003,0.003735348,0.002763684,0.0001576519,0.001376334,0.000173747],"genre_scores_gemma":[0.961924,0.0007273243,0.01139619,0.0003085397,0.001404718,0.0004692798,0.00009174812,0.0001869243,0.02349128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2377052,"threshold_uncertainty_score":0.9999622,"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."}}