{"id":"W3183856934","doi":"10.1016/j.ifacol.2021.06.174","title":"Insights from a qualitative analysis of a gene expression model with delays","year":2021,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Stability (learning theory); Translation (biology); Expression (computer science); Substrate (aquarium); Control theory (sociology); Computer science; Mathematics; Biological system; Chemistry; Control (management); Gene; Biology; Messenger RNA; Biochemistry; Ecology","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":[0.0000660661,0.0002130148,0.0004592129,0.0001152817,0.0000604645,0.00001172204,0.0001598996,0.0001583785,0.00005088938],"category_scores_gemma":[0.00003644022,0.0001737627,0.0003046327,0.0007135472,0.00008110714,0.000005194373,0.00008283015,0.00007609899,0.000002127629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001703511,"about_ca_system_score_gemma":0.000143261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005081122,"about_ca_topic_score_gemma":0.0008241558,"domain_scores_codex":[0.9985113,0.0001722385,0.000303447,0.0005653636,0.0002686649,0.000178967],"domain_scores_gemma":[0.9987594,0.00003082151,0.000183416,0.0006265651,0.0002902117,0.0001096055],"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":[0.0001103264,0.0001162797,0.0005646693,0.00000527974,0.002391326,0.00001045815,0.001369805,0.1085144,0.8867529,0.00001574401,0.000008165498,0.0001406506],"study_design_scores_gemma":[0.0007074021,0.000115225,0.001004595,0.00002485408,0.0021503,0.000002070197,0.00259,0.1249545,0.8679651,0.00007933949,0.00007801891,0.0003285891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447675,0.002752902,0.05195906,0.0000832291,0.00001473562,0.0000580401,0.000193379,0.000009417765,0.0001617361],"genre_scores_gemma":[0.7330918,0.00008916443,0.264371,0.0001200544,0.0000702637,0.000009291898,0.00184673,0.00001987032,0.0003817732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2124119,"threshold_uncertainty_score":0.7085839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440325626176632,"score_gpt":0.280921031486626,"score_spread":0.2665177752248597,"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."}}