{"id":"W2570629027","doi":"10.1371/journal.pbio.1002585","title":"Single-Cell-Based Analysis Highlights a Surge in Cell-to-Cell Molecular Variability Preceding Irreversible Commitment in a Differentiation Process","year":2016,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":302,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Beijing Advanced Innovation Center for Structural Biology, Tsinghua University; École Normale Supérieure de Lyon; Ligue Contre le Cancer; Université Claude Bernard Lyon 1; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche","keywords":"Biology; Gene expression; Cellular differentiation; Progenitor cell; Cell; Population; Gene; Cell fate determination; Gene expression profiling; Phenotype; Genetics; Computational biology; Cell biology; Stem cell; Transcription factor","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":[],"consensus_categories":[],"category_scores_codex":[0.0004385765,0.0002766704,0.0004845849,0.0004300297,0.00006429257,0.00002145701,0.0003074263,0.0003123464,0.0000531432],"category_scores_gemma":[0.00007406977,0.000222333,0.0002145069,0.0009592077,0.00005650251,0.000004971444,0.0001231294,0.00008250532,0.00001129726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508343,"about_ca_system_score_gemma":0.00008663964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005511017,"about_ca_topic_score_gemma":0.0005189903,"domain_scores_codex":[0.9975015,0.0005186719,0.0004780943,0.0008676492,0.00013878,0.0004953224],"domain_scores_gemma":[0.9988976,0.00008904497,0.0001855819,0.0005990905,0.00009921999,0.0001294741],"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":[0.00007582231,0.0006996165,0.2841983,0.00003686426,0.0001115655,0.000002558989,0.00003219266,0.001958801,0.7127638,0.000006249646,0.00002142896,0.00009278161],"study_design_scores_gemma":[0.001336447,0.0002617618,0.007813045,0.00002291942,0.0003006883,2.789895e-7,0.00001841595,0.002447765,0.9869558,0.0001148563,0.0003733095,0.0003546623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9852529,0.0001549499,0.01349277,0.0002809677,0.00005274226,0.0004016915,0.00001934943,0.00001669091,0.0003279135],"genre_scores_gemma":[0.9988723,0.00002404168,0.0005121328,0.00009706375,0.00003911389,0.0001129475,0.0002155239,0.0000226949,0.0001041274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2763852,"threshold_uncertainty_score":0.9066478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0104368603543433,"score_gpt":0.226453048086626,"score_spread":0.2160161877322827,"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."}}