{"id":"W2131250960","doi":"10.1371/journal.pone.0002922","title":"Noise-Driven Stem Cell and Progenitor Population Dynamics","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Air Force Office of Scientific Research; National Institutes of Health; National Cancer Institute; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Harvard University","keywords":"Attractor; Progenitor; Population; Progenitor cell; Cellular differentiation; Stem cell; Biology; Physics; Biological system; Statistical physics; Cell biology; Genetics; Mathematics","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":[0.0002952872,0.0002284246,0.0002993294,0.0002706636,0.0002044188,0.0004398729,0.0005587597,0.0003477976,0.001167922],"category_scores_gemma":[0.001355977,0.0001603563,0.0002792368,0.0001935833,0.0007212603,0.0006550914,0.0002890236,0.0003562474,0.0001348937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009483728,"about_ca_system_score_gemma":0.0004804815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507646,"about_ca_topic_score_gemma":0.0009164687,"domain_scores_codex":[0.9998593,0.00002969634,0.000005556948,0.00004436611,0.00004508421,0.00001588859],"domain_scores_gemma":[0.9996681,0.0001471199,0.00008973895,0.00002431822,0.00003913412,0.00003163368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000122452,0.00005152127,0.0072507,0.0001059882,0.00004900859,0.0002843824,0.0001328094,0.7591382,0.1232518,0.1006446,0.0004520609,0.008516433],"study_design_scores_gemma":[0.000006156642,0.00001517687,0.0009391073,0.000001982689,0.000006560353,0.00005753986,0.000007400114,0.985657,0.004598842,0.008453453,0.0002489989,0.000007863742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.711284,0.0002167783,0.284149,0.0002844158,0.0000225895,0.00003407268,0.0002073553,0.0002264427,0.00357545],"genre_scores_gemma":[0.9923255,0.00009126998,0.006340999,0.00002021017,0.000005778577,0.00003134442,0.00005914013,0.00001816307,0.001107591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001507646,"threshold_uncertainty_score":0.006880939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561356596805339,"score_gpt":0.1907041052280743,"score_spread":0.1750905392600209,"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."}}