{"id":"W7148561379","doi":"10.1007/978-3-032-07031-9_9","title":"Biochemical Reaction Networks","year":2025,"lang":"en","type":"book-chapter","venue":"Static & dynamic game theory: foundations & applications","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières; Innovation and Economic Development Trois Rivières","funders":"","keywords":"Chemical reaction; Stoichiometry; Context (archaeology); Node (physics); Molecule; Representation (politics); Chemical structure; Reaction mechanism","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003686776,0.0005420287,0.0004701131,0.0002743193,0.0003011415,0.00007617295,0.0005342709,0.0006134158,0.0002288479],"category_scores_gemma":[0.00005203706,0.0006174958,0.0003970445,0.0002228518,0.0004288617,0.000007293589,0.0002111722,0.000409169,0.000193434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000217288,"about_ca_system_score_gemma":0.0003798482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006827246,"about_ca_topic_score_gemma":0.00006608933,"domain_scores_codex":[0.9976037,0.00008760381,0.0006788153,0.0009865867,0.0002560697,0.000387211],"domain_scores_gemma":[0.9972087,0.0001254683,0.0004690251,0.001710065,0.000333817,0.0001528925],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001004143,0.0001748078,0.000009711528,0.0001045349,0.002454415,0.00000167108,0.00004511568,0.003527497,0.0123248,0.8940629,0.01711588,0.07007827],"study_design_scores_gemma":[0.0003973932,0.00007238056,0.00005727914,0.00009050688,0.001657303,0.00001831269,0.00004739919,0.009558831,0.0001518962,0.1766969,0.8103319,0.0009199085],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0003798392,0.002122423,0.8026463,0.0004065139,0.0002054589,0.001563956,0.0002924744,0.0001386337,0.1922443],"genre_scores_gemma":[0.1673813,0.002375964,0.004444774,0.0004035259,0.0005851266,0.001276427,0.02273089,0.0002169998,0.800585],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7982016,"threshold_uncertainty_score":0.9996276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005611205564930253,"score_gpt":0.2534304886115995,"score_spread":0.2478192830466693,"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."}}