{"id":"W2047367625","doi":"10.1016/j.stem.2010.09.010","title":"Benefits of Utilizing Gene-Modified iPSCs for Clinical Applications","year":2010,"lang":"en","type":"letter","venue":"Cell stem cell","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; University of Toronto","funders":"","keywords":"Induced pluripotent stem cell; Reprogramming; Transgene; Biology; Genetic enhancement; Context (archaeology); Cancer research; Bioinformatics; Gene; Computational biology; Genetics; Embryonic stem cell","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0006162126,0.0004499451,0.0006304595,0.0001209314,0.0001333952,0.00003948558,0.001121256,0.003451308,0.0000212397],"category_scores_gemma":[0.00001521537,0.0004584971,0.0006208378,0.0001179917,0.0002095005,0.000003162353,0.0003857215,0.001800456,0.00006718838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002142942,"about_ca_system_score_gemma":0.0002812211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008276988,"about_ca_topic_score_gemma":0.000006166254,"domain_scores_codex":[0.9966633,0.0001502509,0.000933558,0.001140397,0.0004070078,0.0007055312],"domain_scores_gemma":[0.9971356,0.0002157653,0.0005627535,0.001533473,0.0003902801,0.0001621595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007471406,0.0002216632,0.0001055759,0.001515801,0.00008700327,0.000005118987,0.00001198786,0.00004693472,0.339398,0.000009574208,0.6541969,0.004326719],"study_design_scores_gemma":[0.0005584279,0.0001623188,0.00001639426,0.00001549295,0.00006457421,0.000003403693,0.000008356216,0.00002928048,0.3701596,0.00001005632,0.6286761,0.0002960832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4311889,0.08985128,0.05740948,0.08877905,0.00978985,0.03779921,0.01259315,0.0004405748,0.2721485],"genre_scores_gemma":[0.2387657,0.03048333,0.02152231,0.2201496,0.05235898,0.006865083,0.03968692,0.002184879,0.3879833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1924233,"threshold_uncertainty_score":0.9997867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140357998873566,"score_gpt":0.3292264146085162,"score_spread":0.2678228346197805,"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."}}