{"id":"W2085491974","doi":"10.1371/journal.pbio.1000380","title":"Cell Lineage Determination in State Space: A Systems View Brings Flexibility to Dogmatic Canonical Rules","year":2010,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Biology; Flexibility (engineering); Lineage (genetic); Space (punctuation); Computational biology; State space; State (computer science); Evolutionary biology; Genetics; Computer science; Mathematics; Gene; Algorithm","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":[0.0004189209,0.0001757626,0.0003105022,0.0000917161,0.00003804896,0.00001993625,0.0002408299,0.0002490293,0.00002510647],"category_scores_gemma":[0.0001822912,0.0001610666,0.00008307357,0.0001462425,0.00008146565,0.000002809152,0.0001534414,0.0001680575,0.00004946334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002756236,"about_ca_system_score_gemma":0.0001017557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916116,"about_ca_topic_score_gemma":0.001337601,"domain_scores_codex":[0.9985152,0.0001917416,0.0003683701,0.0005110389,0.00007565769,0.0003380156],"domain_scores_gemma":[0.9990846,0.00003462756,0.0001086075,0.0005312969,0.00008500634,0.0001558963],"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":[0.00002931984,0.0001093481,0.01661801,0.00008184783,0.00002738073,0.000003423045,0.00005961904,0.0003094882,0.9817439,0.00003891945,0.00008340689,0.0008953208],"study_design_scores_gemma":[0.001459137,0.0007280699,0.03322816,0.0000925472,0.0001524181,0.00004106217,0.00009380079,0.02128818,0.9130313,0.0003135391,0.02842471,0.001147021],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980233,0.0005901488,0.0005730885,0.0001100065,0.0001630892,0.0003379588,0.00002040268,0.00001627617,0.0001657085],"genre_scores_gemma":[0.9979587,0.00006170283,0.001307377,0.0001018492,0.0001657996,0.00006558115,0.00009545575,0.00001915179,0.0002244328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06871255,"threshold_uncertainty_score":0.6568106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093730934728768,"score_gpt":0.2607794344244385,"score_spread":0.2498421250771508,"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."}}