{"id":"W2158808095","doi":"10.1109/ibed.1998.710540","title":"Nonlinear identification methods for modeling biomedical systems","year":2002,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Medical Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Nonlinear system; Identification (biology); Computer science; System identification; Variety (cybernetics); Nonlinear system identification; Estimation theory; Data modeling; Algorithm; Artificial intelligence; Physics; Software engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362569,0.001415695,0.001359054,0.001208336,0.00041259,0.001204055,0.001260251,0.001526512,0.004268824],"category_scores_gemma":[0.002533747,0.0004522913,0.0009597254,0.001494469,0.000695773,0.001229858,0.001042793,0.001841096,0.004140896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004767599,"about_ca_system_score_gemma":0.0008014216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863984,"about_ca_topic_score_gemma":0.001413666,"domain_scores_codex":[0.9991818,0.0002976339,0.00006192946,0.0001313204,0.0003029733,0.00002427252],"domain_scores_gemma":[0.9994778,0.0002656688,0.00005515767,0.00007564178,0.0001149862,0.00001074424],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007008985,0.00005272819,0.0004821452,0.002587497,0.0002755095,0.0002933913,0.0002651533,0.2015342,0.01205262,0.2885611,0.01859672,0.4752288],"study_design_scores_gemma":[0.00002995236,0.0000682929,0.0004622672,0.0004453358,0.0001018252,0.0004473441,0.00006399734,0.6155857,0.00427231,0.2114775,0.1669611,0.00008431359],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004052759,0.01199394,0.9832693,0.0002776141,0.0003090931,0.00003920832,0.0001187018,0.0003306857,0.003256064],"genre_scores_gemma":[0.05681907,0.04732701,0.8756619,0.0005392805,0.001529827,0.0007323929,0.00103301,0.0004322138,0.01592531],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004268824,"threshold_uncertainty_score":0.01428062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04032081536086597,"score_gpt":0.3025624714516578,"score_spread":0.2622416560907919,"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."}}