{"id":"W2116451639","doi":"10.1109/med.2008.4602098","title":"Subspace technique for identification of hybrid complex systems.","year":2008,"lang":"en","type":"article","venue":"","topic":"Control Systems and Identification","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Identifiability; Observability; Subspace topology; Identification (biology); Nonlinear system; System identification; Computer science; State space; Control theory (sociology); Piecewise; Class (philosophy); Hybrid system; Reachability; Affine transformation; Estimation theory; Mathematical optimization; Algorithm; Mathematics; Data modeling; Artificial intelligence; Applied mathematics; Machine learning; Control (management)","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":[0.0001729256,0.00006348398,0.0001394325,0.00007029924,0.00004008859,0.00001282892,0.00007846756,0.00002235588,0.000008722861],"category_scores_gemma":[0.00001494886,0.0000636777,0.00004742555,0.00007080574,0.00001426049,0.00008016347,0.000004151138,0.00002200559,0.00001389049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003145456,"about_ca_system_score_gemma":0.00000650671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007025056,"about_ca_topic_score_gemma":0.000006142056,"domain_scores_codex":[0.9993943,0.000009826556,0.0003353263,0.00009035899,0.00008294809,0.00008726483],"domain_scores_gemma":[0.9995674,0.00002452372,0.00006354067,0.000210646,0.0001122685,0.00002163481],"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":[0.000003075259,0.00001114838,0.0001243032,0.0002292195,0.00001804996,3.125408e-7,0.00004344068,0.003644101,0.9805714,0.00193228,0.01330642,0.0001162219],"study_design_scores_gemma":[0.0005003473,0.000027557,0.008489056,0.00004018082,0.00002300314,0.0000749477,0.000122113,0.3783666,0.5924681,0.0001169151,0.01951526,0.0002558723],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06126387,0.000242332,0.9354067,0.00002498143,0.00030174,0.001066531,0.00003284908,0.000211056,0.00144996],"genre_scores_gemma":[0.9980319,0.00002122753,0.0004091524,0.000001424732,0.00004976443,0.0003059912,0.0000303667,0.00001578109,0.001134379],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9367681,"threshold_uncertainty_score":0.2596701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02325764988466604,"score_gpt":0.2226187892485784,"score_spread":0.1993611393639124,"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."}}