{"id":"W2998407354","doi":"10.1101/2019.12.28.889972","title":"Characterization of human-iPSCs derived spinal motor neurons by single-cell RNA sequencing","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":"McGill University; Montreal Neurological Institute and Hospital","funders":"","keywords":"Induced pluripotent stem cell; Neuroscience; Biology; Cell type; Brainstem; Motor neuron; Cell; Phenotype; Population; Spinal column; Progenitor cell; Computational biology; Spinal cord; Human Induced Pluripotent Stem Cells; Embryonic stem cell; Cell biology; Gene; Genetics; Stem cell; Medicine","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":[0.000379748,0.0002923649,0.000235679,0.0003695991,0.0001590523,0.0003474726,0.0002073646,0.0002495516,0.001028818],"category_scores_gemma":[0.0003729714,0.0001053943,0.0002583762,0.000199538,0.0001841675,0.0001116026,0.0001440121,0.0003403912,0.0009064962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001612643,"about_ca_system_score_gemma":0.00028604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007670255,"about_ca_topic_score_gemma":0.0009674648,"domain_scores_codex":[0.9998268,0.00002019454,0.00002900721,0.00004779384,0.00005825045,0.0000179349],"domain_scores_gemma":[0.9997854,0.00005690317,0.00003788848,0.00003056932,0.00007538358,0.0000140064],"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":[0.00002094948,0.000008612562,0.0003180804,0.00003122378,0.00000490258,0.0000442258,0.00001913219,0.0003004539,0.9961195,0.0001227546,0.00005955876,0.002950798],"study_design_scores_gemma":[0.000004745007,0.00005721199,0.004178494,0.00001397829,0.00002397004,0.0001867995,0.00003112378,0.002718902,0.9877894,0.0001863572,0.004802526,0.000006406122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7727404,0.001507799,0.1995044,0.000189509,0.000130518,0.0005041312,0.01726469,0.0009640025,0.007194548],"genre_scores_gemma":[0.7662482,0.001787244,0.197022,0.000239286,0.00003394334,0.0005545164,0.02596503,0.0005565583,0.007593243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001028818,"threshold_uncertainty_score":0.003441691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02006096647209848,"score_gpt":0.2344552753811259,"score_spread":0.2143943089090274,"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."}}