{"id":"W4318323662","doi":"10.1002/aic.18058","title":"Parameter estimation and prediction uncertainties for multi‐response kinetic models with uncertain inputs","year":2023,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Process Optimization and Integration","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Replicate; Weighting; Estimation theory; Multivariate statistics; Statistics; Mathematics; Observational error; Computer science","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":[0.0108151,0.001092292,0.00121806,0.001041943,0.0004679573,0.001450647,0.001350187,0.001601639,0.0004729248],"category_scores_gemma":[0.02724709,0.000764252,0.001252138,0.0007470307,0.001123,0.001277766,0.001208158,0.001717216,0.00007533753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001290716,"about_ca_system_score_gemma":0.000860956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005115792,"about_ca_topic_score_gemma":0.002527789,"domain_scores_codex":[0.9960606,0.002402384,0.0001802456,0.0004344903,0.0007533925,0.0001688523],"domain_scores_gemma":[0.9715987,0.02503812,0.00157936,0.0008215414,0.0008702358,0.0000921106],"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":[0.00002701263,0.00001495571,0.0006704913,0.0000254828,0.00002530292,0.00002705499,0.00001369183,0.9947307,0.0005812544,0.001425658,0.00003128303,0.0024271],"study_design_scores_gemma":[0.000001711386,0.000008227298,0.0001839042,0.000004051068,0.00000339659,0.000004051501,0.000004600029,0.9980533,0.0005440241,0.001156479,0.00003096463,0.000005360148],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1462173,0.0003529602,0.8519178,0.0002733478,0.00002433665,0.00003956865,0.00009882823,0.0001838909,0.0008920357],"genre_scores_gemma":[0.9747397,0.0001054463,0.02462623,0.00002936873,0.000008922812,0.00009246073,0.00007683921,0.00002863814,0.0002923425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0108151,"threshold_uncertainty_score":0.05719638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03625320041150415,"score_gpt":0.2661707397149825,"score_spread":0.2299175393034783,"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."}}