{"id":"W159954073","doi":"10.1007/978-3-642-54464-4_10","title":"Nonlinear Modeling of the Dynamic Effects of Free Fatty Acids on Insulin Sensitivity","year":2014,"lang":"en","type":"book-chapter","venue":"Lecture notes in bioengineering","topic":"Metabolomics and Mass Spectrometry Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Insulin sensitivity; Sensitivity (control systems); Insulin; Nonlinear system; Biological system; Control theory (sociology); Chemistry; Biophysics; Endocrinology; Physics; Biology; Computer science; Insulin resistance; Engineering; Electronic engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000158883,0.0003345863,0.0005098245,0.0001308263,0.00002485134,0.000004267975,0.0002312993,0.0004075459,0.00000175352],"category_scores_gemma":[0.0004997983,0.000259097,0.0002201675,0.00005839761,0.00006696746,9.470832e-7,0.0002690193,0.0003656082,4.921007e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000266086,"about_ca_system_score_gemma":0.00002455547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001210309,"about_ca_topic_score_gemma":0.00007897655,"domain_scores_codex":[0.9989736,0.00002346842,0.0003065731,0.0003352442,0.0001641535,0.0001969492],"domain_scores_gemma":[0.9989817,0.00009811733,0.0001539163,0.0006781764,0.00006183468,0.00002632435],"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":[0.0000622463,0.00002995313,0.00008731083,0.000634066,0.0002544522,0.00000413911,0.00003783651,0.179243,0.814994,0.00119344,0.000004086432,0.003455505],"study_design_scores_gemma":[0.0009207007,0.0004291829,0.0003291289,0.0008479481,0.0001298768,0.000008461598,0.000001158604,0.146546,0.8466539,0.0019968,0.001482846,0.000654003],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3728003,0.01091927,0.6097791,0.0002260035,0.001428988,0.000925609,0.0002310079,0.00003419103,0.003655539],"genre_scores_gemma":[0.9954413,0.0008162038,0.003278565,0.0000521438,0.0001611891,0.000004129697,0.00003026344,0.00005674743,0.0001594834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.622641,"threshold_uncertainty_score":0.9999861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005117309573305665,"score_gpt":0.2026882956825523,"score_spread":0.1975709861092466,"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."}}