{"id":"W2784588023","doi":"10.15252/msb.20177952","title":"Modeling signaling‐dependent pluripotency with Boolean logic to predict cell fate transitions","year":2018,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"University of Toronto; Japan Society for the Promotion of Science; Canada Research Chairs; Hospital for Sick Children; Keio University; Canadian Institutes of Health Research; Uehara Memorial Foundation","keywords":"Biology; Computational biology; Cell fate determination; Cell biology; Boolean network; Genetics; Boolean function; Transcription factor; Computer science; Gene","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001982969,0.0003537295,0.0002453253,0.0002745185,0.0001931853,0.0003851433,0.0003877178,0.0004662893,0.001060388],"category_scores_gemma":[0.0006310894,0.0001904447,0.0003332772,0.0001412088,0.0003267714,0.0002855057,0.0002207802,0.0002864573,0.0000922929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008677345,"about_ca_system_score_gemma":0.0005284509,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005419467,"about_ca_topic_score_gemma":0.003730295,"domain_scores_codex":[0.9999393,0.00001756985,0.000002703819,0.0000104456,0.00001709862,0.00001285753],"domain_scores_gemma":[0.9997731,0.0001459601,0.00003072575,0.000009813312,0.00002355263,0.00001680655],"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":[0.00001407997,0.00001030509,0.0004594691,0.000007259242,0.000004246273,0.00001825562,0.000005619714,0.9927724,0.004316992,0.001759972,0.00002761789,0.0006037252],"study_design_scores_gemma":[0.000001816531,0.000003539521,0.00002673791,3.358566e-7,7.99814e-7,9.897723e-7,8.975159e-7,0.9991711,0.0005735603,0.000198932,0.0000207826,5.505451e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7806187,0.0001074087,0.2108433,0.0002033031,0.00003220789,0.00005533641,0.0003072634,0.0003891842,0.00744318],"genre_scores_gemma":[0.9899177,0.00004077141,0.009242229,0.0000226572,0.000002696364,0.00004042346,0.00005464561,0.00001590238,0.0006629334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005419467,"threshold_uncertainty_score":0.01077586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01391141975817836,"score_gpt":0.2529598187851474,"score_spread":0.239048399026969,"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."}}