{"id":"W4243471594","doi":"10.1109/iembs.2006.4397383","title":"Applications of Nonlinear System Identification in Molecular Biology","year":2006,"lang":"en","type":"article","venue":"Conference proceedings","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Identification (biology); Nonlinear system; Computer science; Computational biology; Nonlinear dynamical systems; Biology; Biological system; Physics; 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":[0.0001542181,0.00007529833,0.0001056081,0.00006977838,0.00001674804,0.00001203579,0.0002570958,0.0001506543,0.000009710192],"category_scores_gemma":[0.00004351368,0.00007107452,0.00003224412,0.0002059512,0.0001729359,0.000002584748,0.00008220087,0.00008229158,0.000003827525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002100392,"about_ca_system_score_gemma":0.00004374123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003648613,"about_ca_topic_score_gemma":0.000001947768,"domain_scores_codex":[0.999229,0.0000052999,0.0002476375,0.0002514568,0.0001028817,0.0001637128],"domain_scores_gemma":[0.9995642,0.000004464755,0.00007605158,0.0001126162,0.0002076297,0.00003508114],"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":[0.00001079821,0.00004814879,0.003358124,0.00006882946,0.000002775558,1.803355e-7,0.000004564602,5.957014e-8,0.9620339,0.0334693,0.0001705083,0.0008327987],"study_design_scores_gemma":[0.000119251,0.00005489388,0.0003096677,0.00002401089,0.000002960538,0.000002441119,0.00004946804,0.0002050655,0.9877541,0.004155723,0.007248208,0.00007419829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7962371,0.0002953213,0.1830046,0.0001825661,0.00002192668,0.0004336997,0.0000204584,0.00004351098,0.01976077],"genre_scores_gemma":[0.9948531,0.00003225133,0.00456518,0.00001343449,0.00006044854,0.0001769893,0.00008306325,0.000007361803,0.0002081491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.198616,"threshold_uncertainty_score":0.2898335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007764354674012069,"score_gpt":0.3110420681903547,"score_spread":0.3032777135163427,"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."}}