{"id":"W1848751006","doi":"10.1109/iscas.1997.621882","title":"A QR decomposition based algorithm for computing transfer functions from state equations","year":2002,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"University of Hong Kong; University Grants Committee; City University of Hong Kong","keywords":"QR decomposition; Algorithm; Computer science; Decomposition; Transfer function; State (computer science); Inverse; Applied mathematics; Mathematics; Eigenvalues and eigenvectors","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":[0.0001715934,0.0001219932,0.000148942,0.00007564795,0.0002867664,0.000162217,0.0002636532,0.00003497253,0.0001746857],"category_scores_gemma":[0.00001723472,0.0001086297,0.0001186609,0.0003451454,0.00002247204,0.0002645839,0.00002771269,0.00008458518,0.00006521148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000294583,"about_ca_system_score_gemma":0.00001379792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008055337,"about_ca_topic_score_gemma":0.000004929464,"domain_scores_codex":[0.998897,0.00008585546,0.0002407498,0.0003558039,0.0001633995,0.0002572516],"domain_scores_gemma":[0.99868,0.0008360478,0.00002741001,0.0002521794,0.00009015153,0.0001142265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[7.586175e-7,0.0001035424,0.000003472224,0.00000153012,0.00001214727,9.971084e-7,0.0001002797,0.000479097,0.000419023,0.00142328,0.0002010273,0.9972548],"study_design_scores_gemma":[0.0005297732,0.0001052136,0.00009081871,0.000008816411,0.00001013728,7.877783e-7,0.00001079881,0.9903093,0.001283105,0.00495301,0.00253827,0.0001599509],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001704163,0.00005114587,0.997023,0.001429033,0.0004116237,0.000242294,0.00005815504,0.0002677799,0.000346588],"genre_scores_gemma":[0.0157262,0.000002286514,0.9829719,0.0008211531,0.0001078404,0.00003130044,0.00002031726,0.0000100896,0.0003089297],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9970949,"threshold_uncertainty_score":0.4429789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111798983804527,"score_gpt":0.29644097674276,"score_spread":0.2553229869047148,"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."}}