{"id":"W2592644893","doi":"10.1073/pnas.1614412114","title":"Rapid and efficient generation of oligodendrocytes from human induced pluripotent stem cells using transcription factors","year":2017,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"National Institute of Neurological Disorders and Stroke; Agence Nationale de la Recherche","keywords":"Induced pluripotent stem cell; Cell biology; Biology; Stem cell; Human Induced Pluripotent Stem Cells; Transcription factor; Computational biology; Embryonic stem cell; Genetics; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922659,0.0004133837,0.0001718702,0.0003878614,0.0001742016,0.0004670415,0.0001687713,0.0002350034,0.001488334],"category_scores_gemma":[0.0002468106,0.0001982976,0.0002638049,0.0002948587,0.0002277178,0.0002651658,0.0004482094,0.0005240066,0.001015382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000192937,"about_ca_system_score_gemma":0.0004819239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000331736,"about_ca_topic_score_gemma":0.0005876814,"domain_scores_codex":[0.9997749,0.0000344648,0.00003505532,0.00003496304,0.00009669691,0.00002401891],"domain_scores_gemma":[0.9999074,0.00002060753,0.00002169441,0.00001796664,0.00001984547,0.00001260428],"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":[0.00002432736,0.00001305507,0.0001498509,0.00007295122,0.000005752808,0.00005512927,0.00002141186,0.0002603141,0.9856504,0.0007977058,0.0003439043,0.01260526],"study_design_scores_gemma":[0.00001254166,0.00008491534,0.0006148103,0.00001621587,0.0000172053,0.0001820181,0.00002411457,0.001005562,0.9777371,0.0004131074,0.01988486,0.000007435219],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5483007,0.01454608,0.3943108,0.001654607,0.0005055078,0.001267502,0.008437824,0.00202465,0.0289523],"genre_scores_gemma":[0.8305012,0.01542608,0.128521,0.0003931772,0.00008889232,0.0004730096,0.008981138,0.0002329047,0.01538253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001488334,"threshold_uncertainty_score":0.004978955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1282071822276785,"score_gpt":0.3316450913546237,"score_spread":0.2034379091269453,"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."}}