{"id":"W2143576146","doi":"10.1002/cjce.21825","title":"Robust stability analysis inspired by classical statistical principles","year":2013,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stability (learning theory); Eigenvalues and eigenvectors; PID controller; Statistical analysis; Control theory (sociology); Mathematics; Computer science; Process (computing); Applied mathematics; Statistics; Artificial intelligence; Control (management); Control engineering; Engineering; Machine learning; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001935595,0.0001540027,0.0003218716,0.0001275292,0.00003947233,0.00008563323,0.0002660032,0.00009472348,0.0001456629],"category_scores_gemma":[0.0003173896,0.0001219459,0.0001041693,0.0003706054,0.00006109838,0.0001857909,0.000008817483,0.000385322,0.000007329716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000434368,"about_ca_system_score_gemma":0.00009164592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004709634,"about_ca_topic_score_gemma":0.0002788172,"domain_scores_codex":[0.9988752,0.00001976676,0.0004817067,0.00009332939,0.0001907783,0.0003392103],"domain_scores_gemma":[0.998918,0.0001666897,0.00006690688,0.0001910358,0.000129913,0.0005274526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001764364,0.00000336823,0.0002251305,0.00001835942,0.0002324776,0.000006053892,0.00006582481,0.9791908,0.01898151,0.0003709861,0.0005751564,0.0003285415],"study_design_scores_gemma":[0.000206014,0.00001055728,0.0004853859,0.00001640694,0.0001333738,0.0000209889,0.000009971184,0.9914209,0.006648161,0.00006756684,0.0008132173,0.0001675185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3703239,0.0005792105,0.6277153,0.0004848568,0.0002750453,0.0002182138,0.0000472586,0.00008446116,0.0002717394],"genre_scores_gemma":[0.9947628,0.00000129765,0.005047537,0.00001798587,0.0001128618,0.000009616505,0.000009457451,0.00002852197,0.000009951742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6244389,"threshold_uncertainty_score":0.497281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152017696201363,"score_gpt":0.1734832001985634,"score_spread":0.1619630232365498,"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."}}