{"id":"W4234298365","doi":"10.32920/ryerson.14655822.v1","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; Bathing; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001343292,0.0003790317,0.0004548951,0.00003060786,0.0002419097,0.0002300413,0.00077952,0.0004946883,0.0002073826],"category_scores_gemma":[0.0001721164,0.0002996345,0.0002677438,0.00007999018,0.0001963707,0.0001164399,0.003067684,0.0006177515,0.00003438872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002809364,"about_ca_system_score_gemma":0.00002524606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006616415,"about_ca_topic_score_gemma":0.0002065101,"domain_scores_codex":[0.9969558,0.0001302511,0.0006832843,0.001004801,0.0004367171,0.0007891885],"domain_scores_gemma":[0.9985638,0.0001533077,0.0001460065,0.001031807,0.00002581079,0.00007925311],"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":[0.00002539834,0.00006515681,0.004494001,0.00008664789,0.00001469702,0.000003021507,0.000397953,0.9847621,0.006537725,0.00005142348,0.00119913,0.002362691],"study_design_scores_gemma":[0.00008511498,0.00001860614,0.000644704,0.00003329575,0.00002695649,5.393176e-7,0.00008603402,0.9241931,0.06424789,0.009968827,0.0001898094,0.0005051456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7454726,0.00001115954,0.2493011,0.002464477,0.001188194,0.000574249,0.00002381037,0.0006830986,0.0002812546],"genre_scores_gemma":[0.8440505,4.701018e-7,0.154207,0.0002220833,0.0002910778,0.0002088117,0.0002240618,0.00003934001,0.0007566643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09857784,"threshold_uncertainty_score":0.9999456,"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."}}