{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004855746,0.001563812,0.001051422,0.001496541,0.0009221085,0.003089461,0.004041039,0.001873993,0.03768167],"category_scores_gemma":[0.01937188,0.0008600717,0.001432995,0.002074572,0.0008188979,0.004175319,0.003469019,0.002573231,0.01176318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00124429,"about_ca_system_score_gemma":0.001893861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004549641,"about_ca_topic_score_gemma":0.0032572,"domain_scores_codex":[0.9958321,0.0006767541,0.000166259,0.001181878,0.001889522,0.0002533597],"domain_scores_gemma":[0.991688,0.001690456,0.000494778,0.003105972,0.002849463,0.0001715219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006731188,0.0004305533,0.01187758,0.0007116593,0.0003281886,0.0001810547,0.0004870059,0.2565112,0.01582225,0.0432403,0.06057685,0.6091602],"study_design_scores_gemma":[0.0001556506,0.0003870236,0.008080159,0.0002492547,0.0001409091,0.000371616,0.0003438541,0.7573713,0.03077151,0.03568744,0.1661939,0.0002473728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01591697,0.0004092947,0.9403498,0.0002959601,0.0004705485,0.0003564972,0.001949778,0.009754795,0.03049637],"genre_scores_gemma":[0.477386,0.0009317247,0.4700828,0.0008500919,0.0002703075,0.001027056,0.008861431,0.005644409,0.03494605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03768167,"threshold_uncertainty_score":0.1260577,"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."}}