{"id":"W1992316364","doi":"10.1016/j.biomaterials.2013.04.014","title":"Separation of rare oligodendrocyte progenitor cells from brain using a high-throughput multilayer thermoplastic-based microfluidic device","year":2013,"lang":"en","type":"article","venue":"Biomaterials","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"Genome Canada","keywords":"Microfluidics; Regenerative medicine; Materials science; Progenitor cell; Stem cell; Regeneration (biology); Population; Nanotechnology; Myelin; Cell sorting; Biomedical engineering; Cell; Cell biology; Biology; Neuroscience; Central nervous system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002542265,0.0002294866,0.0003468751,0.0001291656,0.00005171058,0.0001138735,0.0002830602,0.000214755,0.001159816],"category_scores_gemma":[0.0001258581,0.0002082779,0.00006239835,0.0002034912,0.00009691774,0.0001523671,0.0000795512,0.00002855482,0.0005038899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001008354,"about_ca_system_score_gemma":0.00007152258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009751065,"about_ca_topic_score_gemma":0.000003806513,"domain_scores_codex":[0.9982919,0.0001423173,0.000534887,0.0002749405,0.0003582016,0.0003977305],"domain_scores_gemma":[0.9989935,0.0003181068,0.00009418552,0.0003413756,0.0001214268,0.0001314052],"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":[0.00002303425,0.00003230816,0.00009434822,0.0002057668,0.00005816022,0.000004516747,0.00007439615,0.0001729072,0.9965214,0.000003144843,0.002313175,0.0004968293],"study_design_scores_gemma":[0.0005170354,0.00002978102,0.001531599,0.0001353585,0.00001932925,0.00000143832,0.00001212769,0.0143202,0.9823009,0.00002560215,0.0008982836,0.000208314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898881,0.0002833016,0.007810754,0.00004516971,0.0009637911,0.0005997025,0.0001637395,0.0002241307,0.00002133815],"genre_scores_gemma":[0.9884173,0.00001403133,0.01102534,0.00003909392,0.0002954931,0.00006651606,0.00006249471,0.00006476656,0.0000150226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01422049,"threshold_uncertainty_score":0.9997532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02580254958443193,"score_gpt":0.2871548832747022,"score_spread":0.2613523336902702,"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."}}