{"id":"W2895497063","doi":"10.1016/j.drudis.2018.10.001","title":"Implications of human induced pluripotent stem cells in metabolic disorders: from drug discovery toward precision medicine","year":2018,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"CRISPR; Induced pluripotent stem cell; Drug discovery; Genome editing; Computational biology; Human Induced Pluripotent Stem Cells; Genome-wide association study; Drug development; Biology; Personalized medicine; Ex vivo; Drug; Stem cell; Precision medicine; Identification (biology); Bioinformatics; In vivo; Pharmacology; Genetics; Embryonic stem cell; Gene; Genotype; Single-nucleotide polymorphism","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"],"consensus_categories":[],"category_scores_codex":[0.0008035361,0.0008964078,0.002307944,0.0005079175,0.000127779,0.0001173681,0.001745337,0.0005412725,0.00005932805],"category_scores_gemma":[0.00007381409,0.0006960588,0.0008212491,0.000648924,0.0003808097,0.00007170461,0.001194312,0.0005970412,0.00005379687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381761,"about_ca_system_score_gemma":0.0005194934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001362806,"about_ca_topic_score_gemma":0.00115658,"domain_scores_codex":[0.9942278,0.0008472721,0.00175076,0.001666129,0.0007537433,0.0007542628],"domain_scores_gemma":[0.9964367,0.0002224323,0.000907957,0.002087833,0.0001317583,0.0002133682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003583626,0.003122739,0.0008793843,0.01744502,0.003020611,0.00003212253,0.002129539,0.00005463505,0.2341048,0.000850202,0.04104576,0.6969569],"study_design_scores_gemma":[0.00135476,0.0003010994,0.0003563545,0.008622451,0.0007307515,0.000004975405,0.0004475603,0.000004202881,0.03126848,0.0006038612,0.9550173,0.001288173],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04998685,0.944532,0.0001851088,0.0002089202,0.0005911304,0.002043804,0.001459773,0.00001991959,0.0009724602],"genre_scores_gemma":[0.0471344,0.9447669,0.00003310345,0.0000414174,0.0006754613,0.0003372172,0.002803164,0.0001533842,0.004054978],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9139716,"threshold_uncertainty_score":0.999549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112448700770942,"score_gpt":0.3325011301286833,"score_spread":0.2913766431209739,"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."}}