{"id":"W4416789847","doi":"10.1007/s00285-025-02320-y","title":"On the reduction of stochastic chemical reaction networks","year":2025,"lang":"en","type":"article","venue":"Journal of Mathematical Biology","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Eigenvalues and eigenvectors; Projection (relational algebra); Reduction (mathematics); Noise (video); Master equation; Manifold (fluid mechanics); Stochastic process; Oblique projection","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":[0.000511921,0.00008736783,0.0002347439,0.00006255137,0.00002766964,0.000003857257,0.0001721287,0.0001678982,0.00002353716],"category_scores_gemma":[0.00044056,0.00005269166,0.0001859309,0.000129741,0.0001466328,0.000001482884,0.00004221009,0.0001567464,0.000002270467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000165664,"about_ca_system_score_gemma":0.00004162302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":3.033115e-7,"about_ca_topic_score_gemma":1.466861e-7,"domain_scores_codex":[0.9991715,0.0001124203,0.0004203331,0.0001047651,0.00007592893,0.0001150348],"domain_scores_gemma":[0.9991869,0.0001319212,0.000295177,0.0002162333,0.0001375968,0.00003211389],"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":[0.0002513335,0.0001592383,0.00002268925,0.0000173109,0.000352604,4.994562e-7,0.00001265005,0.00229708,0.9574709,0.03382401,0.003598332,0.001993386],"study_design_scores_gemma":[0.001948542,0.002281951,0.0005386194,0.0005019924,0.001061079,0.0005464785,0.0003863092,0.01342872,0.6431163,0.3335182,0.00218177,0.0004900605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880768,0.0003613567,0.1100302,0.0007583477,0.0001928109,0.00007202978,6.74179e-7,0.000002125557,0.0005056394],"genre_scores_gemma":[0.999176,0.00002772518,0.0004036496,0.00007630399,0.0002117023,0.000002459388,0.000003351122,0.000005221319,0.00009362566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3143546,"threshold_uncertainty_score":0.2148703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00819157788579076,"score_gpt":0.2558005695912975,"score_spread":0.2476089917055068,"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."}}