{"id":"W2014615391","doi":"10.1093/imamci/dnq033","title":"Stability analysis and estimate of the region of attraction of a human respiratory model: [republished article]","year":2010,"lang":"en","type":"article","venue":"IMA Journal of Mathematical Control and Information","topic":"Chemical and Physical Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stability (learning theory); Mathematics; Exponential stability; Applied mathematics; Constructive; State space; Term (time); Lyapunov function; Type (biology); Differential equation; Control theory (sociology); Mathematical analysis; Computer science; Control (management); Statistics; Nonlinear system; Physics; Biology; Artificial intelligence; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008636436,0.0006585267,0.0005541391,0.0006757829,0.0003490828,0.0006887988,0.0006140557,0.0006789517,0.001901444],"category_scores_gemma":[0.001936021,0.0001828414,0.0009669601,0.0001722548,0.0005537154,0.0005534482,0.001048189,0.0006331833,0.0002871137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000587713,"about_ca_system_score_gemma":0.0005690378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003535752,"about_ca_topic_score_gemma":0.001110866,"domain_scores_codex":[0.9997826,0.00006632971,0.000009472481,0.00007186885,0.00004801548,0.00002173365],"domain_scores_gemma":[0.9993247,0.0003233263,0.0001250256,0.00003184616,0.0001666624,0.00002856747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001567184,0.00004952401,0.001770126,0.0004395692,0.000156887,0.0003435686,0.0003777203,0.8599162,0.04125787,0.07117669,0.001663556,0.02269153],"study_design_scores_gemma":[0.000003983188,0.00005262617,0.0005492974,0.00001673692,0.00002085818,0.00005399648,0.00002196951,0.9881139,0.002743979,0.007427123,0.0009809937,0.00001453279],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08619435,0.001170368,0.9049284,0.0003770952,0.00005236324,0.00005710098,0.0001626696,0.0001195517,0.006938038],"genre_scores_gemma":[0.9611686,0.0007255484,0.03143639,0.00007109368,0.00005531736,0.0001331382,0.0002128382,0.0000397458,0.006157224],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003535752,"threshold_uncertainty_score":0.007030308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064240832606326,"score_gpt":0.2546564929238661,"score_spread":0.2440140845978028,"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."}}