{"id":"W4220945903","doi":"10.2166/wst.2022.107","title":"The transition of WRRF models to digital twin applications","year":2022,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada); Université Laval; CentrEau - Quebec Water Management Research Centre","funders":"","keywords":"Transition (genetics); Computer science; Biology; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01568166,0.0008656308,0.0009574183,0.002016592,0.000860034,0.00957204,0.004643649,0.002644349,0.005760967],"category_scores_gemma":[0.03972269,0.001153941,0.001836802,0.002570741,0.004587551,0.02070123,0.009866053,0.005542666,0.003362196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003300789,"about_ca_system_score_gemma":0.004375697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01008368,"about_ca_topic_score_gemma":0.005780822,"domain_scores_codex":[0.989881,0.003860407,0.0008607155,0.001015268,0.003906627,0.0004759745],"domain_scores_gemma":[0.9813213,0.006922638,0.0006204133,0.00658875,0.003941142,0.0006058103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008282063,0.00006932202,0.001576962,0.0004787628,0.00005001823,0.0002212245,0.002752432,0.03732136,0.002268584,0.7850153,0.01099371,0.1591695],"study_design_scores_gemma":[0.00002422058,0.00007524452,0.0005873524,0.0007175864,0.00003293547,0.0002301562,0.001431364,0.1172847,0.003848562,0.4029027,0.4727644,0.0001009057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01710115,0.002619976,0.9175124,0.01450103,0.0005738505,0.0001388504,0.0006574932,0.003336986,0.04355827],"genre_scores_gemma":[0.2199132,0.008427153,0.7461315,0.002273724,0.0004588874,0.0002902517,0.002255663,0.002615641,0.017634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01568166,"threshold_uncertainty_score":0.08293349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006062113701204877,"score_gpt":0.199680500297135,"score_spread":0.1936183865959302,"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."}}