{"id":"W1985607197","doi":"10.1016/j.jtbi.2009.07.005","title":"A model of sequential branching in hierarchical cell fate determination","year":2009,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Cell fate determination; Gene regulatory network; Cellular differentiation; Ode; Modular design; Computer science; Biology; Biological system; Mathematics; Applied mathematics; Genetics; Gene; Gene expression; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006308925,0.0004061601,0.0006784413,0.0006302653,0.0007314458,0.001177815,0.001411495,0.001426081,0.00510182],"category_scores_gemma":[0.002283839,0.000421538,0.000785964,0.0008299091,0.00115638,0.001476998,0.0007864232,0.001008337,0.0004512489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001334078,"about_ca_system_score_gemma":0.001039571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005152261,"about_ca_topic_score_gemma":0.003561272,"domain_scores_codex":[0.9997564,0.00008492309,0.000008468842,0.00005093221,0.00005168817,0.0000475943],"domain_scores_gemma":[0.9989114,0.0007323774,0.0000852755,0.00007587874,0.00008242404,0.0001127001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008614513,0.00003917351,0.0005498452,0.00004639599,0.00001956927,0.0001776616,0.0001155095,0.4179309,0.003880168,0.5701627,0.0009354252,0.006056439],"study_design_scores_gemma":[0.00002444977,0.00001141875,0.0001335822,0.00000344041,0.000007516969,0.00003716582,0.00001220568,0.8103338,0.0002540489,0.1888176,0.0003568691,0.000007940297],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2467169,0.0004085496,0.7206504,0.001901147,0.00006942982,0.0000528794,0.0003376005,0.0004160511,0.02944697],"genre_scores_gemma":[0.9331335,0.0003139522,0.05399678,0.0001620282,0.00004549151,0.00009299751,0.0001373256,0.00006521848,0.01205279],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005152261,"threshold_uncertainty_score":0.01706731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008674432232334649,"score_gpt":0.2626497590494801,"score_spread":0.2539753268171455,"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."}}