{"id":"W4248232511","doi":"10.14796/jwmm.c414","title":"Continuous Calibration","year":2017,"lang":"en","type":"article","venue":"Journal of Water Management Modeling","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Computer science; Mathematics; Statistics","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":[0.0002288242,0.00006279643,0.0001207972,0.00007929224,0.0001016613,0.0002006425,0.0001689328,0.00002461336,0.00001269974],"category_scores_gemma":[0.000002624259,0.00004405745,0.00006231469,0.000007468486,0.000004351447,0.0003573003,0.0000215305,0.00007840673,0.00001168387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002428268,"about_ca_system_score_gemma":9.662141e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004321228,"about_ca_topic_score_gemma":0.000001820421,"domain_scores_codex":[0.9994353,0.000008490328,0.0002699025,0.00004189695,0.0001356333,0.0001087456],"domain_scores_gemma":[0.9997187,0.000001359295,0.00006004899,0.0001525841,0.00003187781,0.00003540875],"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":[0.00001707724,0.000007535585,0.00004856585,0.00005570166,0.0001428116,0.00004524893,0.0001924953,0.9843297,0.005435369,0.00012015,0.0004125855,0.009192738],"study_design_scores_gemma":[0.0004633494,0.00001524744,0.00001525478,0.00004039871,0.00002585454,0.00001347599,0.0001084132,0.9940645,0.001661638,0.0003352526,0.003193727,0.00006287554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.469916,0.000109232,0.5137896,0.0002873809,0.001846928,0.0001055055,3.462152e-7,0.00006365943,0.01388134],"genre_scores_gemma":[0.9989318,0.00003268503,0.000325756,0.00002073746,0.0002235245,0.000001774133,2.823675e-7,0.00001182841,0.000451575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5290158,"threshold_uncertainty_score":0.19348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296236181696423,"score_gpt":0.2157347055252709,"score_spread":0.2027723437083067,"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."}}