{"id":"W2801836971","doi":"10.1002/bit.26719","title":"Chemically controlled aggregation of pluripotent stem cells","year":2018,"lang":"en","type":"article","venue":"Biotechnology and Bioengineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; World Wildlife Fund Canada; University of British Columbia; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Induced pluripotent stem cell; Regenerative medicine; Yield (engineering); Stem cell; Chemistry; Suspension culture; Mass transfer; Nanotechnology; Cell culture; Cell biology; Materials science; Biology; Chromatography; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000474073,0.0003394106,0.000209191,0.0002399999,0.0002069946,0.0004675042,0.0002582941,0.0003033772,0.0005509607],"category_scores_gemma":[0.0005896408,0.0001792793,0.0002226434,0.0002483783,0.0002408947,0.0003209913,0.0003179132,0.0005197568,0.0002796054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005480445,"about_ca_system_score_gemma":0.0002385704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004855069,"about_ca_topic_score_gemma":0.0009047774,"domain_scores_codex":[0.9993795,0.0001099836,0.0000865853,0.000130672,0.0002454695,0.00004775123],"domain_scores_gemma":[0.9996225,0.0001056046,0.0001353478,0.00004643801,0.00006741675,0.00002265272],"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":[0.00001438169,0.000007281816,0.00005508881,0.00003498917,0.000004574108,0.00001709357,0.00001808215,0.0005158032,0.9972671,0.0002739913,0.0000718891,0.00171975],"study_design_scores_gemma":[0.000004269498,0.00003866656,0.0002004995,0.000002286501,0.000006458436,0.0000164918,0.000003565248,0.001529048,0.9964239,0.00003664904,0.001734485,0.000003730057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9350069,0.003664647,0.05172414,0.0004655309,0.0002032244,0.0001748995,0.0005261219,0.0003773108,0.007857307],"genre_scores_gemma":[0.9719383,0.001396264,0.02301355,0.0002179457,0.00005867345,0.000108044,0.0003356443,0.00009429092,0.002837349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005509607,"threshold_uncertainty_score":0.003976405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008256661566014102,"score_gpt":0.2129993373009742,"score_spread":0.2047426757349601,"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."}}