{"id":"W4306412453","doi":"10.1002/ece3.9396","title":"Integrating natural gradients, experiments, and statistical modeling in a distributed network experiment: An example from the <scp>WaRM</scp> Network","year":2022,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Carlsbergfondet","keywords":"Computer science; Statistical analysis; Natural (archaeology); Biology; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004187786,0.0001564288,0.0001870445,0.00002179482,0.0006197636,0.00002366722,0.000130551,0.0001003025,0.00001461581],"category_scores_gemma":[0.00003804082,0.0001407523,0.00003331293,0.0001529648,0.0001020274,0.000009355175,0.0002961158,0.0002268592,4.46e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007459822,"about_ca_system_score_gemma":0.00003566418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007664856,"about_ca_topic_score_gemma":0.001654119,"domain_scores_codex":[0.998368,0.0004480428,0.0002443372,0.0004569906,0.00009169079,0.0003909426],"domain_scores_gemma":[0.9995227,0.00009068839,0.00007964956,0.0002126922,0.00002214833,0.00007207015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002281915,0.0002734062,0.443281,0.00000691515,0.000415692,0.00001690869,0.003059414,0.5151556,0.02085537,0.004176762,0.01147144,0.001059309],"study_design_scores_gemma":[0.00136606,0.0004298292,0.1597741,0.00001052055,0.00009416355,0.00002676733,0.007093658,0.8241887,0.0002028119,0.003879502,0.002741162,0.0001927058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779022,0.009883937,0.01170248,0.00002811168,0.0002651392,0.0001684413,0.00002411238,0.00001169134,0.00001384478],"genre_scores_gemma":[0.9968441,0.00007657748,0.001207991,0.000131322,0.000351907,0.0001037941,0.001247475,0.00001339471,0.00002347501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3090332,"threshold_uncertainty_score":0.5739713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430296936196352,"score_gpt":0.2360855900610592,"score_spread":0.2217826206990957,"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."}}