{"id":"W4298042719","doi":"10.7554/elife.79919","title":"Evolution of cell size control is canalized towards adders or sizers by cell cycle structure and selective pressures","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; National Institutes of Health; National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; Chan Zuckerberg Initiative","keywords":"Cell size; Adder; Control (management); Cell biology; Biology; Cell; Evolutionary biology; Computational biology; Computer science; Artificial intelligence; Genetics; Telecommunications","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":[0.0001113274,0.0001452691,0.0002220394,0.00002939307,0.0001277752,0.000007610729,0.0001420568,0.00007900003,0.000257406],"category_scores_gemma":[0.00003644133,0.0001361002,0.00009195902,0.0001571219,0.00007509298,0.000002547092,0.00009151969,0.00009395,2.896356e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004334377,"about_ca_system_score_gemma":0.0002155669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004697922,"about_ca_topic_score_gemma":0.0001432374,"domain_scores_codex":[0.9988779,0.0001577226,0.0001799127,0.0003261609,0.0002551589,0.0002030912],"domain_scores_gemma":[0.9994224,0.00002093091,0.0001503643,0.0002240648,0.0000996455,0.00008260622],"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":[0.0003658412,0.00004164179,0.002667757,0.00002383874,0.0002167763,0.000001104779,0.0001706681,0.007082415,0.9269674,8.932313e-7,0.06235752,0.0001040983],"study_design_scores_gemma":[0.002164029,0.0003591,0.004084295,0.000001970709,0.0002842275,0.000004290992,0.0005598816,0.001685404,0.9717005,0.00002433407,0.01887602,0.0002558714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938672,0.004981604,0.0001827535,0.00007560925,0.00005638046,0.0001886466,0.0004197182,0.000007558999,0.0002205975],"genre_scores_gemma":[0.9979367,0.00008196809,0.000175316,0.0003258061,0.00006297758,0.00001875961,0.00005162807,0.0000196745,0.001327194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04473313,"threshold_uncertainty_score":0.5550006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002204207443016209,"score_gpt":0.196304965792339,"score_spread":0.1941007583493228,"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."}}