{"id":"W2993946495","doi":"10.1016/j.stemcr.2019.11.003","title":"Precision Health Resource of Control iPSC Lines for Versatile Multilineage Differentiation","year":2019,"lang":"en","type":"article","venue":"Stem Cell Reports","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; University of Toronto; Sunnybrook Health Science Centre; SickKids Foundation; Hospital for Sick Children","funders":"National Institute of Allergy and Infectious Diseases; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Canada First Research Excellence Fund; Human Genome Sciences; Ontario Brain Institute; Centre for Jewish Studies, University of Toronto; Heart and Stroke Foundation of Canada; GlaxoSmithKline; Hospital for Sick Children","keywords":"Biology; Induced pluripotent stem cell; Computational biology; Organoid; Phenotype; Genome; Disease; Genetics; Bioinformatics; Gene; Embryonic stem cell; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002559248,0.00096719,0.0006930854,0.002104526,0.001069716,0.001292272,0.001418836,0.0009305589,0.007110116],"category_scores_gemma":[0.001567577,0.0005645563,0.0006833001,0.001113951,0.0006205417,0.000435933,0.001507372,0.001219147,0.004007744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008895442,"about_ca_system_score_gemma":0.001221561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005045416,"about_ca_topic_score_gemma":0.00930282,"domain_scores_codex":[0.998054,0.0001576831,0.0002257659,0.0003359409,0.001034147,0.0001923584],"domain_scores_gemma":[0.9981699,0.0002887115,0.0001601506,0.0006790794,0.0005507721,0.0001513721],"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":[0.0003109219,0.00007740632,0.00222748,0.0001921568,0.00004537179,0.0005239879,0.0002472994,0.000629248,0.9578683,0.001233749,0.004747823,0.03189632],"study_design_scores_gemma":[0.00009128213,0.0002999583,0.00829122,0.00008340194,0.0001859339,0.002024736,0.0001254409,0.002987664,0.8834132,0.0004839319,0.1019506,0.00006256849],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3472505,0.004168053,0.5334637,0.0007947705,0.0005661989,0.006391459,0.05441199,0.01892326,0.03403009],"genre_scores_gemma":[0.4811933,0.003309086,0.3071395,0.001038027,0.0001460785,0.005972679,0.1599912,0.005231574,0.03597838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007110116,"threshold_uncertainty_score":0.02378571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063107609897837,"score_gpt":0.2679984851201539,"score_spread":0.2573674090211756,"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."}}