{"id":"W4417421875","doi":"10.1016/j.ifacol.2025.12.189","title":"Implementation and Mathematical Modeling of a Copper Controller in Yeast","year":2025,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Copper; Yeast; Controller (irrigation); Control theory (sociology); Control system; Genetic algorithm; Control (management)","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":[0.000132192,0.0000824689,0.0001707945,0.00005803751,0.00001814507,0.00000572239,0.00005240862,0.00006579117,0.00004090918],"category_scores_gemma":[0.00001743004,0.00007610673,0.00005315493,0.00009499105,0.00002957111,0.000001884419,0.00004523001,0.00003526889,0.000001923712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008777862,"about_ca_system_score_gemma":0.00003095478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001799539,"about_ca_topic_score_gemma":0.0001337174,"domain_scores_codex":[0.9993976,0.00002897404,0.0002187183,0.0001744187,0.0000646412,0.0001156623],"domain_scores_gemma":[0.9997759,0.000006556394,0.00003688402,0.000116898,0.00003835748,0.0000254415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003031162,0.0002064333,0.02065539,0.0001416161,0.0004260657,0.000002432221,0.0002179675,0.01891672,0.9398872,0.00104894,0.00005191178,0.01814224],"study_design_scores_gemma":[0.00875192,0.0003430042,0.007808482,0.0001804866,0.000396104,0.00001272386,0.003481637,0.9181684,0.05795437,0.001386138,0.0009209811,0.0005958102],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943987,0.0008103671,0.003839006,0.0002284096,0.00001119678,0.0001232323,0.00001029661,0.000003273137,0.0005755763],"genre_scores_gemma":[0.9877027,0.00006360712,0.01170572,0.00009467395,0.00003177149,0.000009658026,0.00003846709,0.000006587944,0.0003468747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8992516,"threshold_uncertainty_score":0.3103542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007652632345166222,"score_gpt":0.2805905372987694,"score_spread":0.2729379049536032,"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."}}