{"id":"W2950912089","doi":"10.1101/666560","title":"Control iPSC lines with clinically annotated genetic variants for versatile multi-lineage differentiation","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"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":"Canadian Institutes of Health Research; Hospital for Sick Children; Natural Sciences and Engineering Research Council of Canada; Heart and Stroke Foundation of Canada; GlaxoSmithKline","keywords":"Induced pluripotent stem cell; Biology; Organoid; Computational biology; Frameshift mutation; Phenotype; Cellular differentiation; Genetics; Cell culture; Genome; Embryonic stem cell; Gene","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":[0.001071884,0.0006199498,0.0003662547,0.0008219332,0.0005268842,0.000748448,0.0006540471,0.0006032654,0.004560212],"category_scores_gemma":[0.0009464204,0.0002681889,0.0004410635,0.0006628197,0.0004898237,0.0002085724,0.000645921,0.0009413603,0.002662976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004566362,"about_ca_system_score_gemma":0.000664752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311568,"about_ca_topic_score_gemma":0.00351243,"domain_scores_codex":[0.9990607,0.00008625789,0.0001585066,0.0002299368,0.0003464791,0.0001181971],"domain_scores_gemma":[0.9991438,0.0002044726,0.00009458718,0.0002990571,0.0001865224,0.00007150179],"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":[0.000261761,0.00005065629,0.002057186,0.0001480027,0.0000296406,0.0007469138,0.0002295591,0.0005588165,0.9807673,0.001076461,0.002310097,0.0117637],"study_design_scores_gemma":[0.00004939511,0.0001390663,0.008170085,0.00005638037,0.0001237581,0.002118422,0.0001389565,0.002191729,0.9111617,0.0004195154,0.0753971,0.00003402331],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7408283,0.002055756,0.1805236,0.0004809821,0.0004887291,0.001686017,0.05059685,0.004447723,0.01889209],"genre_scores_gemma":[0.7570502,0.001988494,0.09924896,0.0007255619,0.00008596935,0.002659869,0.1047046,0.002862205,0.03067412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004560212,"threshold_uncertainty_score":0.01525539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0173142963529048,"score_gpt":0.2570559787860974,"score_spread":0.2397416824331926,"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."}}