{"id":"W2515552876","doi":"","title":"A New Wavelet Based Approach to Assess Hydrological Models","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Wavelet; Computer science; Artificial intelligence; Environmental science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001156809,0.0007524983,0.0005534648,0.002489812,0.000320816,0.00139992,0.0008057437,0.0008283068,0.002028033],"category_scores_gemma":[0.004611581,0.0003176354,0.0006375336,0.001703942,0.0003620871,0.002154625,0.0008972321,0.001058256,0.0006159786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003559559,"about_ca_system_score_gemma":0.0003923188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016982,"about_ca_topic_score_gemma":0.001262776,"domain_scores_codex":[0.9994823,0.0001072387,0.00005189489,0.00008783866,0.0002301719,0.00004049665],"domain_scores_gemma":[0.9987243,0.000472031,0.0001326055,0.0001608492,0.0004394294,0.00007074345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002384426,0.0002842672,0.007794143,0.0002087711,0.0002516708,0.0002608292,0.0001739952,0.419566,0.05536311,0.05455803,0.003373358,0.4579274],"study_design_scores_gemma":[0.000005266439,0.00003176823,0.0008433132,0.000005599907,0.00002118187,0.00002754237,0.00001672264,0.9916254,0.001736365,0.004930389,0.000744617,0.00001195269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0179276,0.00009095898,0.9797996,0.00005250103,0.00005065729,0.00002396648,0.0001334007,0.0002270465,0.001694287],"genre_scores_gemma":[0.4472005,0.0004847388,0.5466383,0.00007762465,0.0001768053,0.0001399253,0.0008553779,0.0002773852,0.00414943],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002489812,"threshold_uncertainty_score":0.006784379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05183380909433727,"score_gpt":0.2465586928622782,"score_spread":0.1947248837679409,"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."}}