{"id":"W4232496409","doi":"10.32920/ryerson.14655822","title":"Artificial neural network based nowcasting model for beach water quality","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Nowcasting; Artificial neural network; Environmental science; Water quality; Recreation; Hydrology (agriculture); Meteorology; Computer science; Machine learning; Geography; Ecology; Engineering; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004220335,0.0006469147,0.0004600183,0.0003382105,0.0003336692,0.0007730405,0.0008281178,0.001020863,0.001976275],"category_scores_gemma":[0.001006073,0.0003145741,0.0005743478,0.0003170919,0.0003116713,0.0005573645,0.0003982341,0.001015018,0.0002360962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001060572,"about_ca_system_score_gemma":0.0008226693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06263719,"about_ca_topic_score_gemma":0.02935107,"domain_scores_codex":[0.9998487,0.0000277775,0.00001143234,0.00005622835,0.00002835807,0.00002742604],"domain_scores_gemma":[0.9996599,0.0001524415,0.00004675205,0.00001081646,0.0001149462,0.00001516306],"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":[0.00001751956,0.0000135774,0.0006655894,0.000008143796,0.000008802544,0.00001478556,0.000005843807,0.9960976,0.0002622643,0.0002245894,0.0001191633,0.002562236],"study_design_scores_gemma":[0.000001049953,0.000003354619,0.000127197,6.817592e-7,0.000001516425,8.073839e-7,0.000001063835,0.9997082,0.00004270073,0.00008126825,0.0000310554,0.000001007058],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4830965,0.00102253,0.4964183,0.0008634587,0.0004333552,0.0001251219,0.001166266,0.0009753553,0.01589914],"genre_scores_gemma":[0.9844447,0.0002011489,0.00855193,0.00004046079,0.00002893834,0.00007178486,0.0003472675,0.00001621128,0.006297459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06263719,"threshold_uncertainty_score":0.1245452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1604378722640358,"score_gpt":0.3302119363532059,"score_spread":0.1697740640891702,"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."}}