{"id":"W2809141374","doi":"10.1038/s41598-018-27653-1","title":"Sequential Application of Discrete Topographical Patterns Enhances Derivation of Functional Mesencephalic Dopaminergic Neurons from Human Induced Pluripotent Stem Cells","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Medical Research Council; Medical Research Council; Mechanobiology Institute, Singapore; Ministry of Education, India; National Research Foundation","keywords":"Induced pluripotent stem cell; Neuroscience; Dopaminergic; Human Induced Pluripotent Stem Cells; Stem cell; Biology; Parkinson's disease; Lineage (genetic); Cellular differentiation; Cell type; Cell biology; Dopamine; Disease; Cell; Embryonic stem cell; Medicine; Genetics; Pathology; 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":[0.00008352662,0.0002682981,0.0001611515,0.0001657449,0.00006582044,0.0002688002,0.000146095,0.0002151436,0.000612987],"category_scores_gemma":[0.00016046,0.0001776479,0.0001643173,0.0001529208,0.0001499119,0.0001493289,0.0002651019,0.0002847587,0.00018536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414541,"about_ca_system_score_gemma":0.0001183336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004246965,"about_ca_topic_score_gemma":0.001218539,"domain_scores_codex":[0.9998871,0.00001035328,0.00001305434,0.00002318327,0.0000400933,0.00002615657],"domain_scores_gemma":[0.9999191,0.0000187786,0.00002671978,0.00001119053,0.00001108613,0.00001313696],"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":[0.00001637582,0.00001129386,0.00009454017,0.00002156065,0.000002433371,0.00003167635,0.000009828349,0.0001593558,0.9978504,0.00003961795,0.00002307299,0.001739933],"study_design_scores_gemma":[0.000006615455,0.0001267541,0.00203086,0.000002663049,0.0000108415,0.00007852336,0.00001642223,0.001165683,0.9956872,0.00002378099,0.0008469386,0.000003624172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888062,0.0006803256,0.00822364,0.00005425791,0.0000319043,0.00003882496,0.0001644488,0.0001194106,0.001880943],"genre_scores_gemma":[0.991523,0.0005745878,0.00677319,0.00003334817,0.000006779667,0.00002720794,0.0001101064,0.00002362451,0.0009281987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000612987,"threshold_uncertainty_score":0.002050579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02208407484125958,"score_gpt":0.2760229133465965,"score_spread":0.2539388385053369,"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."}}