{"id":"W1980776789","doi":"10.1002/aic.11465","title":"Reparameterization of inestimable systems with applications to chemical and biochemical reactor systems","year":2008,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Subspace topology; Linear subspace; Work (physics); Dimension (graph theory); Parameter space; Range (aeronautics); Applied mathematics; Computer science; Mathematical optimization; Mathematics; Statistics; Thermodynamics; Engineering; Physics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002325792,0.001088456,0.001075053,0.0009079839,0.0003507478,0.0009066815,0.001094813,0.0008050738,0.003113746],"category_scores_gemma":[0.008417446,0.0005595749,0.0008581288,0.0005611104,0.001041666,0.001384545,0.001817191,0.00201742,0.0003951566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005698919,"about_ca_system_score_gemma":0.0005627161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111522,"about_ca_topic_score_gemma":0.0006656094,"domain_scores_codex":[0.9991455,0.0004218217,0.00004841283,0.0001462698,0.0001822358,0.00005573867],"domain_scores_gemma":[0.9967707,0.002066285,0.0004517055,0.0003870435,0.0002514197,0.00007283007],"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":[0.00007481087,0.00008884129,0.0008138208,0.0001270169,0.00005543145,0.000120964,0.0001130484,0.9058923,0.007296821,0.04129611,0.0004207259,0.04370007],"study_design_scores_gemma":[0.000003421494,0.00002392218,0.0001360476,0.000005601334,0.000003593551,0.00001806595,0.000006055169,0.9855398,0.0009106884,0.01303944,0.0003032848,0.00001019571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03534632,0.0001738426,0.9626769,0.0001565289,0.00001124045,0.00003909365,0.00006803056,0.0001383399,0.001389674],"genre_scores_gemma":[0.7722198,0.0004155092,0.2237271,0.00008447046,0.00004878403,0.000316218,0.000455549,0.0001382931,0.002594125],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003113746,"threshold_uncertainty_score":0.01230007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008608836779139768,"score_gpt":0.2056767931041844,"score_spread":0.1970679563250447,"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."}}