{"id":"W2774097669","doi":"10.1038/s41467-017-02037-7","title":"Developmental nonlinearity drives phenotypic robustness","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Children's Hospital; Alberta Bone and Joint Health Institute; University of Calgary","funders":"National Institute of Dental and Craniofacial Research; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Robustness (evolution); Evolvability; Biology; Phenotype; Computational biology; Gene; Genetics; Evolutionary biology","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":[0.00006698573,0.00008282634,0.00008037651,0.00000735371,0.001228962,0.00005505428,0.001873203,0.0001408028,0.0003796971],"category_scores_gemma":[0.0002174199,0.00006411289,0.00004196975,0.00006203576,0.0005800074,0.0001811465,0.001460414,0.0004693296,0.000255907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005479282,"about_ca_system_score_gemma":0.00001070481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005568437,"about_ca_topic_score_gemma":0.0005803959,"domain_scores_codex":[0.9994496,0.00003010524,0.0001071129,0.0001634168,0.0001165876,0.0001331975],"domain_scores_gemma":[0.9989038,0.00007031009,0.00007591493,0.0008673734,0.00001402132,0.00006861373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003773517,0.001916633,0.1728819,0.000009185977,0.00007148339,0.000003239847,0.0003916023,0.0004059397,0.7190866,0.01943618,0.02479794,0.06096157],"study_design_scores_gemma":[0.0001458989,0.000009703635,0.9407291,0.000006645616,0.000008800886,0.000002279384,0.00003545268,0.002663757,0.002746278,0.002220204,0.05125542,0.0001764032],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9090202,0.0002002028,0.0002082971,0.007957606,0.00008132068,0.0001740315,0.00002971655,0.0000827304,0.08224593],"genre_scores_gemma":[0.9547656,0.00006098181,0.0443915,0.000301416,0.00002453851,0.00001930101,0.00004539128,0.00000408768,0.0003871581],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7678472,"threshold_uncertainty_score":0.9452304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03466224337167469,"score_gpt":0.2914810032818363,"score_spread":0.2568187599101616,"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."}}