{"id":"W4414824146","doi":"10.1177/15578666251382251","title":"Bayesian Validation of Dynamic Systems for Biological Networks","year":2025,"lang":"en","type":"article","venue":"Journal of Computational Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Research Foundation of Korea","keywords":"Ode; Bayesian probability; Set (abstract data type); Process (computing); Biological data; Ordinary differential equation; Biological network; Bayesian network; Interpretation (philosophy)","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":[0.0004172393,0.00008934418,0.0002675134,0.0001302226,0.00003839177,0.000007200596,0.0001583968,0.0001747945,0.00000335033],"category_scores_gemma":[0.00008860143,0.00007258789,0.0002000372,0.0001340636,0.00008058137,0.000002394441,0.0000332741,0.00005635543,2.115903e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001933413,"about_ca_system_score_gemma":0.0001177664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000103503,"about_ca_topic_score_gemma":6.615256e-7,"domain_scores_codex":[0.9990345,0.0001380187,0.0005230218,0.0001318291,0.00005693468,0.000115689],"domain_scores_gemma":[0.9988336,0.0001187524,0.0004400775,0.00009026089,0.0004850214,0.00003227084],"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":[0.0002256964,0.00006212462,0.00852736,0.00002154238,0.0004906454,4.89696e-7,0.00000452505,0.9588752,0.02555751,0.002207401,0.001314149,0.002713364],"study_design_scores_gemma":[0.004851407,0.003971435,0.04023485,0.0001794009,0.0005502044,0.0001907713,0.0001656645,0.8629277,0.01537338,0.04437519,0.02653939,0.0006405836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3687823,0.002618907,0.6280565,0.0001170464,0.0003002207,0.00008341341,0.00000806294,0.000001657786,0.00003192287],"genre_scores_gemma":[0.995198,0.0001556642,0.004169766,0.00006430267,0.0001760016,0.000004452276,0.0001813984,0.000004933527,0.0000455193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6264157,"threshold_uncertainty_score":0.2960048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008340144347964068,"score_gpt":0.2789221383341564,"score_spread":0.2705819939861923,"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."}}