{"id":"W4200463866","doi":"10.36334/modsim.2021.f5.mhedhbi","title":"Data-driven approaches to rainfall nowcasting for application in hydrological modelling","year":2021,"lang":"en","type":"article","venue":"MODSIM2021, 24th International Congress on Modelling and Simulation.","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Nowcasting; Computer science; Environmental science; Remote sensing; Climatology; Meteorology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004099173,0.000156415,0.0001804731,0.0000814407,0.0001897813,0.0000582817,0.0002853513,0.00008218099,0.000034119],"category_scores_gemma":[0.00006597091,0.0001529769,0.0000301108,0.0001189707,0.00005888738,0.0002250153,0.0003898055,0.0001288567,0.00002522466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006349021,"about_ca_system_score_gemma":0.000005902096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003593493,"about_ca_topic_score_gemma":0.00007418711,"domain_scores_codex":[0.9984826,0.00003974304,0.0003021835,0.0007122282,0.0002366188,0.0002266302],"domain_scores_gemma":[0.9992684,0.00030142,0.00007336488,0.0002681521,0.00002834346,0.00006035158],"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":[0.00009702017,0.00007597355,0.007009028,0.000007761771,0.00003013729,0.000004574621,0.0002009157,0.9894716,0.00001425686,0.0015812,0.00008068935,0.001426902],"study_design_scores_gemma":[0.0004616734,0.00002884119,0.0001982848,0.0000174577,0.0000135358,7.542013e-7,0.00003433954,0.9874148,0.00003214892,0.005237641,0.006397882,0.0001626565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2584543,0.00001895921,0.7379525,0.001817644,0.0001777011,0.0003001855,0.00005047031,0.00002877959,0.001199413],"genre_scores_gemma":[0.9786839,0.00001837977,0.01962664,0.0005515758,0.000075339,0.00008841325,0.0003454009,0.00001350007,0.000596777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7202297,"threshold_uncertainty_score":0.6238216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2045123709126002,"score_gpt":0.3101434837574312,"score_spread":0.105631112844831,"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."}}