{"id":"W2894552244","doi":"10.1103/physreve.101.022118","title":"Optimal control of protein copy number","year":2020,"lang":"en","type":"article","venue":"Physical review. E","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"Simon Fraser University; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Receptor; Optogenetics; Chemical biology; Cytosol; Cell membrane; Cell; Extracellular; Biophysics; Chemistry; Cell biology; Biology; Biochemistry; Neuroscience","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":[0.00006846324,0.0001130693,0.0003332213,0.0000033219,0.00001540104,0.000003341851,0.0001528621,0.00002943757,0.00006037892],"category_scores_gemma":[0.00008486798,0.00009618356,0.0002654677,0.000121634,0.0000493788,0.000001501449,0.00005305431,0.00005586031,0.00008313725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003168659,"about_ca_system_score_gemma":0.00002897625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001291432,"about_ca_topic_score_gemma":2.291539e-7,"domain_scores_codex":[0.9992417,0.00007528422,0.0001828291,0.0002325392,0.0001328912,0.0001348257],"domain_scores_gemma":[0.9994828,0.000006169572,0.00009996373,0.0002357661,0.00006957496,0.0001057495],"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":[0.00006291823,0.0001133364,0.001870479,0.0005202737,0.0002208281,0.000001726727,0.00001350502,0.0004889402,0.9869359,0.0004751031,0.00615577,0.003141273],"study_design_scores_gemma":[0.0009720916,0.000452048,0.0004866288,0.000299137,0.0004781463,0.000002953002,0.000006760759,0.004276928,0.8115629,0.0001815605,0.1808383,0.0004425475],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808128,0.01141076,0.004981459,0.001420517,0.00001264158,0.0004383508,0.00001311986,0.00001076738,0.0008996241],"genre_scores_gemma":[0.9973845,0.0008063761,0.0003720159,0.0009806342,0.0003385126,0.0000320594,0.00002309902,0.0000141648,0.00004859472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1753729,"threshold_uncertainty_score":0.3922252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009202534886924829,"score_gpt":0.2861107750415008,"score_spread":0.2769082401545759,"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."}}