{"id":"W4386839640","doi":"10.1002/cjce.25095","title":"State estimation for one‐dimensional agro‐hydrological processes with model mismatch","year":2023,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Covariance; Richards equation; Kalman filter; Orthogonalization; Nonlinear system; Mathematical optimization; Extended Kalman filter; Maximization; Mathematics; Function (biology); Projection (relational algebra); State space; Estimation theory; Computer science; Algorithm; Statistics; Soil water; Environmental science; Soil science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0007082627,0.0003058238,0.0006078836,0.0002563481,0.0002498575,0.000554883,0.0004328489,0.0005308727,0.0004463709],"category_scores_gemma":[0.002142904,0.0003033101,0.0003677196,0.0003541111,0.0004459284,0.000669391,0.0007606626,0.0006000469,0.00007138633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004901182,"about_ca_system_score_gemma":0.0005125307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162702,"about_ca_topic_score_gemma":0.005979148,"domain_scores_codex":[0.9997895,0.00006126038,0.00001368435,0.00006860654,0.00004214779,0.00002468149],"domain_scores_gemma":[0.9991301,0.0005702731,0.000134158,0.00006003896,0.00008568371,0.00001987897],"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":[0.00004967367,0.00002209562,0.00245334,0.00002682202,0.00002506074,0.00003238329,0.00003449775,0.9842108,0.001455438,0.001125721,0.00005777363,0.01050636],"study_design_scores_gemma":[0.000002505667,0.000005432662,0.0004191171,7.846505e-7,0.000001745774,0.000002496555,0.000003149312,0.9989819,0.0002604788,0.0002912079,0.00002857674,0.000002573427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4186586,0.0002706246,0.5792031,0.0001672744,0.00002191612,0.00003311694,0.000126051,0.0003547785,0.001164506],"genre_scores_gemma":[0.9902441,0.00004425031,0.009394867,0.00001162072,0.000004228727,0.00001249018,0.00005223163,0.000006171825,0.0002300474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01162702,"threshold_uncertainty_score":0.02311867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02271198390093985,"score_gpt":0.1960123095051535,"score_spread":0.1733003256042137,"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."}}