{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001006603,0.00004531612,0.00004906502,0.0002047961,0.0003283439,0.00001938764,0.0004569174,0.00001323584,0.000004021849],"category_scores_gemma":[0.000001936985,0.00003278775,0.00001318755,0.0007881615,0.0002452585,0.0002191105,0.0001116771,0.0001012769,0.000008807941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004463634,"about_ca_system_score_gemma":0.000009003472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.714138e-7,"about_ca_topic_score_gemma":6.629399e-7,"domain_scores_codex":[0.9994544,0.00000183815,0.00009378372,0.0001183191,0.0001177909,0.0002138008],"domain_scores_gemma":[0.9997199,0.000005118757,0.000007084264,0.000226252,0.00002235576,0.00001927546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002229197,0.00001316657,0.0000115076,0.000003501284,0.000002121099,7.741527e-7,0.001374542,0.6980047,0.2315059,0.01478401,0.00001737145,0.05428016],"study_design_scores_gemma":[0.0001396239,0.00008874958,0.000009214329,0.000004481824,0.000005092601,0.00004180101,0.003930036,0.146502,0.6370344,0.160663,0.0513583,0.0002232847],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2153395,0.00007769241,0.7807035,0.001707792,0.00008123903,0.000202244,0.00001036018,0.000345963,0.001531742],"genre_scores_gemma":[0.998934,0.000002992284,0.0008008736,0.00002958642,0.000005199226,0.0001912948,0.000001246144,0.000005458732,0.00002937923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7835945,"threshold_uncertainty_score":0.2525389,"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."}}