{"id":"W2159241859","doi":"10.1038/msb.2010.71","title":"Dynamic interaction networks in a hierarchically organized tissue","year":2010,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Cancer Cells and Metastasis","field":"Medicine","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Heart and Stroke Foundation; Occupational Cancer Research Centre; Mount Sinai Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Cell biology; Intracellular; Stem cell; Progenitor cell; Cell fate determination; Cellular differentiation; Neuroscience; Transcription factor; Genetics","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":[0.0002264117,0.0002268672,0.0002271876,0.001208168,0.0005705196,0.001068045,0.0005290167,0.0003845743,0.001319811],"category_scores_gemma":[0.0009359752,0.0003355441,0.0003393346,0.0009130708,0.0009756302,0.001655106,0.0005824959,0.0003248958,0.0003777915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000748183,"about_ca_system_score_gemma":0.0005860562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002256858,"about_ca_topic_score_gemma":0.002602835,"domain_scores_codex":[0.9997355,0.00006883483,0.00001485503,0.00008066493,0.00007152749,0.00002851355],"domain_scores_gemma":[0.9994606,0.0002196352,0.0001383674,0.00007458925,0.00006197806,0.0000448126],"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":[0.0001222119,0.00007593071,0.01204182,0.0004285616,0.0001449607,0.001203602,0.0008105442,0.4653582,0.1641438,0.2838793,0.002202626,0.06958848],"study_design_scores_gemma":[0.00003213977,0.00007532128,0.01329594,0.00004245668,0.00008266832,0.0005562746,0.0003107212,0.6876321,0.01431323,0.2626914,0.02091428,0.00005343335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3915974,0.00230776,0.5925709,0.0007873353,0.00002787906,0.00007254888,0.0008296583,0.000932737,0.01087376],"genre_scores_gemma":[0.8863688,0.00118895,0.1088715,0.00007744275,0.00002615432,0.0001165699,0.0005806125,0.00006449434,0.002705426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002256858,"threshold_uncertainty_score":0.005428493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005031726258611793,"score_gpt":0.2870766881113778,"score_spread":0.282044961852766,"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."}}