{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001903583,0.0001131026,0.0002189687,0.0001904201,0.00002615315,0.000007846144,0.0001548481,0.0003209031,0.00001725124],"category_scores_gemma":[0.00003421517,0.00009987172,0.00003356966,0.0002294245,0.0002836375,0.00002728705,0.00007320639,0.0002031091,0.00001394048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002375233,"about_ca_system_score_gemma":0.000007445478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002117076,"about_ca_topic_score_gemma":7.276312e-7,"domain_scores_codex":[0.9992707,0.000006037607,0.0002252506,0.0001407734,0.0001163724,0.0002408775],"domain_scores_gemma":[0.9996513,0.00005568406,0.00002437046,0.0001724862,0.00003996372,0.00005623522],"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":[0.00001943079,0.000007852988,0.00003982036,0.00008358289,0.00005793442,0.000001958758,0.00002065224,0.00007552954,0.9705402,0.0006238741,0.00004763755,0.02848151],"study_design_scores_gemma":[0.0006468106,0.00007415236,0.00009962566,0.00005294389,0.000009641478,0.000006287961,0.00001272967,0.05579244,0.9414303,0.00003993048,0.00173798,0.00009718004],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9744423,0.0007731955,0.02333961,0.0002414006,0.0002715821,0.0001802215,0.000003642657,0.00051804,0.0002300174],"genre_scores_gemma":[0.9967853,0.0003074121,0.002778916,0.000006308422,0.00006327526,0.00001001958,7.843161e-7,0.00001525767,0.00003274965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05571691,"threshold_uncertainty_score":0.407265,"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."}}