{"id":"W4385708068","doi":"10.1080/23570008.2023.2243693","title":"A novel statistical model for flood prediction in the Eel River watershed, New Brunswick, Canada","year":2023,"lang":"en","type":"article","venue":"Water Science","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton; Université du Québec à Montréal","funders":"","keywords":"Climate change; Environmental science; Watershed; Flood myth; Flooding (psychology); Precipitation; Climate model; Climatology; Hydrology (agriculture); Streamflow; Meteorology; Geography; Drainage basin; Geology; Computer science","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":[0.0003258584,0.0006113412,0.0005027276,0.0005383408,0.0009096339,0.0009951968,0.001445645,0.0005803021,0.002000107],"category_scores_gemma":[0.0009190689,0.0003572517,0.0004210721,0.001039597,0.0004405401,0.0004375861,0.0004665818,0.0006028986,0.000224768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007800705,"about_ca_system_score_gemma":0.01290633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9274397,"about_ca_topic_score_gemma":0.8960915,"domain_scores_codex":[0.9998317,0.00001825774,0.00001025802,0.00005042757,0.00004171691,0.00004768035],"domain_scores_gemma":[0.9996779,0.00006989519,0.00002630691,0.000006739113,0.0002042172,0.0000148987],"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":[0.00001630357,0.00001182058,0.002731079,0.00001268512,0.0000114833,0.00004917241,0.00001641761,0.9889236,0.0002417004,0.001483496,0.0008014903,0.005700837],"study_design_scores_gemma":[0.000002297825,0.000001474653,0.0004517217,0.000001271907,0.000002207671,0.000002404963,0.000004975496,0.9990522,0.00003524323,0.0001513911,0.0002922941,0.000002404662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5264581,0.001067247,0.4324753,0.001595335,0.0002177311,0.0003302727,0.008950225,0.001675254,0.02723064],"genre_scores_gemma":[0.9523199,0.000542085,0.0264451,0.0000723707,0.00003081639,0.0002080879,0.002767419,0.0000660122,0.01754816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07256025,"threshold_uncertainty_score":0.1459751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01611616412082285,"score_gpt":0.2252408233205909,"score_spread":0.2091246591997681,"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."}}