{"id":"W2105372361","doi":"10.1038/msb.2009.49","title":"Cell–cell interaction networks regulate blood stem and progenitor cell fate","year":2009,"lang":"en","type":"article","venue":"Molecular Systems Biology","topic":"Hematopoietic Stem Cell Transplantation","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; Heart and Stroke Foundation; University Health Network; Aptose Biosciences (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Stem Cell Network; John Simon Guggenheim Memorial Foundation","keywords":"Biology; Cell biology; Cell fate determination; Progenitor cell; Stem cell; Cell; In silico; Intracellular; Multicellular organism; Haematopoiesis; Cell type; Cellular differentiation; Cell signaling; Blood cell; Signal transduction; Immunology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000226711,0.0002459821,0.0004370293,0.0001225486,0.00005275412,0.00003047234,0.00007825708,0.0003293754,0.000008489832],"category_scores_gemma":[0.000003430181,0.0002157759,0.00008734422,0.0001363215,0.00004164962,0.00003834393,0.00001499011,0.0002144638,0.00003967718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003521007,"about_ca_system_score_gemma":0.00003243661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004160328,"about_ca_topic_score_gemma":0.000001010288,"domain_scores_codex":[0.9983537,0.0002417709,0.0004719532,0.0004532742,0.0001221291,0.000357242],"domain_scores_gemma":[0.9991865,0.00004328328,0.0001920162,0.0003299239,0.00008360877,0.000164715],"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":[0.0001473387,0.000205673,0.003994183,0.0006496425,0.00006047506,0.0003527951,0.000257525,0.0001935607,0.9930425,0.0001764101,0.0001274525,0.0007924038],"study_design_scores_gemma":[0.00543963,0.0021951,0.001945564,0.0004770144,0.0007547229,0.00194112,0.0003908886,0.008710588,0.9748487,0.00003247724,0.002679245,0.0005849309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9682374,0.005120154,0.02090798,0.00012568,0.0006276633,0.001033099,0.00000574629,0.0001080234,0.003834286],"genre_scores_gemma":[0.9982961,0.0001264731,0.000329171,0.0001583885,0.0001580841,0.00002859045,0.00007577515,0.00003055348,0.0007967983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03005879,"threshold_uncertainty_score":0.8799088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008634923532160018,"score_gpt":0.2377507861391323,"score_spread":0.2291158626069723,"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."}}