{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002602134,0.00009093151,0.00008301121,0.0001565629,0.00009458738,0.00009640123,0.00004045216,0.00005342849,0.000006585219],"category_scores_gemma":[0.0001294869,0.00007132624,0.00001897578,0.0001726241,0.00001943537,0.0004128871,0.000004973772,0.0001102775,0.000002959012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004686082,"about_ca_system_score_gemma":0.00002468052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001821217,"about_ca_topic_score_gemma":0.000004082318,"domain_scores_codex":[0.9995056,0.00002454058,0.000159699,0.00007604724,0.0001052855,0.0001287868],"domain_scores_gemma":[0.9996662,0.00008340302,0.00003720617,0.00005093776,0.0001091466,0.00005313366],"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":[0.0001442417,0.000005266164,0.00007225763,0.0000272953,0.00002176739,9.690314e-7,0.0006307171,0.9923853,0.000614128,0.00008348221,0.001189732,0.004824874],"study_design_scores_gemma":[0.0006039528,0.000119104,0.0007041552,0.00005146669,0.00001900772,0.0000346428,0.0001204476,0.9959842,0.0008296759,0.001199753,0.0002513095,0.00008226978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.127452,0.00007808254,0.8717959,0.0002307102,0.0001058871,0.0001304313,0.000008669906,0.0001692387,0.00002914174],"genre_scores_gemma":[0.9344832,0.0001982497,0.06488332,0.00006946338,0.00004299339,0.00004234079,0.00002833138,0.0000235524,0.0002285302],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8070313,"threshold_uncertainty_score":0.29086,"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."}}