{"id":"W2461066852","doi":"10.1016/j.jtbi.2016.06.036","title":"Design principles for the analysis and construction of robustly homeostatic biological networks","year":2016,"lang":"en","type":"article","venue":"Journal of Theoretical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science","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":[0.003060912,0.0009604498,0.0009002189,0.0008856189,0.0006276557,0.001372125,0.002367761,0.001118045,0.002634085],"category_scores_gemma":[0.009776256,0.0009140279,0.001234544,0.000584911,0.001702267,0.001706258,0.002642149,0.001652813,0.0005896096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001037213,"about_ca_system_score_gemma":0.001038231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007273327,"about_ca_topic_score_gemma":0.00091668,"domain_scores_codex":[0.9988456,0.0004706601,0.00007328926,0.0002326329,0.0002978585,0.00007984402],"domain_scores_gemma":[0.9961175,0.002409828,0.0003691137,0.0005364267,0.000419979,0.0001471882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000111577,0.00008528018,0.0007698829,0.0001797115,0.00009933051,0.0001384709,0.0001356662,0.5680794,0.01717538,0.3536799,0.0009977297,0.05854766],"study_design_scores_gemma":[0.00001641926,0.0000301533,0.00006335191,0.000009434489,0.00001318924,0.00002724069,0.000006674823,0.8460657,0.001877813,0.1511978,0.0006827705,0.000009380568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002084925,0.00002281863,0.9974027,0.00004742641,0.000003981047,0.00002125165,0.00001814552,0.000104686,0.0002939597],"genre_scores_gemma":[0.247114,0.000205281,0.749997,0.00013249,0.00004740521,0.0007144017,0.0001953354,0.0002526346,0.001341379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003060912,"threshold_uncertainty_score":0.01618785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01749507708749699,"score_gpt":0.2521624612913624,"score_spread":0.2346673842038654,"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."}}