{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005868076,0.0001303362,0.0002576909,0.00005626244,0.00004664546,0.00001217091,0.0001078791,0.0001231295,0.0000197736],"category_scores_gemma":[0.00005522635,0.0001164335,0.0001403557,0.00005516266,0.00002255561,0.000004023586,0.00007192111,0.00006000017,0.000005746164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002305241,"about_ca_system_score_gemma":0.0001175966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001851775,"about_ca_topic_score_gemma":0.000008531233,"domain_scores_codex":[0.9984289,0.00009061291,0.0005206318,0.0004255317,0.0002735729,0.0002606881],"domain_scores_gemma":[0.998666,0.00007833022,0.0004474673,0.0005567427,0.0001628218,0.00008856393],"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":[0.0003513466,0.0001436801,0.01326461,0.0004321633,0.00003891431,0.000004452666,0.00007363335,0.0009115844,0.9771354,0.000002059127,0.002533186,0.005109014],"study_design_scores_gemma":[0.001917148,0.0009415672,0.003641618,0.00007086644,0.00001814223,0.00001198965,0.0001310615,0.004137464,0.9279238,0.00001138577,0.06099135,0.0002036378],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924524,0.0008167712,0.004153639,0.00006898021,0.0002415508,0.001364841,0.00004020857,0.00001162964,0.0008499663],"genre_scores_gemma":[0.9917172,0.0000531526,0.0002394406,0.00004338821,0.00009108831,0.00003429261,0.0002787178,0.00002622934,0.007516534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05845816,"threshold_uncertainty_score":0.4748019,"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."}}