{"id":"W2171340176","doi":"10.1186/1747-1028-1-29","title":"Regulation of germline stem cell proliferation downstream of nutrient sensing.","year":2006,"lang":"en","type":"article","venue":"Cell Division","topic":"Genetics, Aging, and Longevity in Model Organisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Biology; Stem cell; Germline; Organism; Cell biology; Model organism; Carcinogenesis; Population; Cellular differentiation; Cell growth; Embryonic stem cell; Cancer stem cell; Computational biology; Genetics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001409188,0.0001202043,0.00014711,0.00005238436,0.00003978431,0.000009490313,0.00008058873,0.0001320375,0.000009459105],"category_scores_gemma":[0.000004566236,0.0001162522,0.00007375782,0.00006966102,0.00004990263,0.000003488972,0.0000573834,0.00004118898,0.000003925057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009370996,"about_ca_system_score_gemma":0.00003146606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003738638,"about_ca_topic_score_gemma":0.00001037232,"domain_scores_codex":[0.9990681,0.0000455013,0.000335709,0.0002356593,0.0001861518,0.0001288729],"domain_scores_gemma":[0.999229,0.000007267886,0.0002285847,0.0003251993,0.0001781506,0.00003182933],"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":[0.00002573529,0.0001852074,0.002425535,0.00009056571,0.000003510753,2.7144e-7,0.0001184372,0.003233529,0.9914064,0.00002506405,0.000660146,0.001825537],"study_design_scores_gemma":[0.000475563,0.0002423587,0.009912365,0.00001762432,0.00001934085,0.000001017319,0.00003042783,0.002423914,0.9855974,0.0001658151,0.001001122,0.0001130361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534524,0.0004164173,0.04487972,0.00002011963,0.0001074571,0.000198098,0.00001197386,0.000007745403,0.0009060717],"genre_scores_gemma":[0.9967273,0.00005731641,0.001807932,0.00001550141,0.0001105541,0.000001121366,0.0002421393,0.00001686618,0.001021288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04327489,"threshold_uncertainty_score":0.4740629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004928122444816638,"score_gpt":0.1927866814972534,"score_spread":0.1878585590524367,"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."}}