{"id":"W3201799535","doi":"10.82308/10836","title":"An ensemble wavelet-based stochastic data-driven framework for addressing nonlinearity, multiscale change, and uncertainty in water resources forecasting","year":2018,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wavelet; Computer science; Nonlinear system; Econometrics; Environmental science; Artificial intelligence; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00175082,0.0004485198,0.0004624439,0.0001353525,0.001389312,0.0001489192,0.0009152826,0.0004115039,0.0002256394],"category_scores_gemma":[0.001534682,0.0003716524,0.00006958257,0.0003567857,0.0006098985,0.0009315113,0.001017901,0.0007327982,0.00008692832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003303778,"about_ca_system_score_gemma":0.000006176722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218613,"about_ca_topic_score_gemma":0.003280469,"domain_scores_codex":[0.9960579,0.0003275301,0.0005628053,0.001424269,0.000497008,0.001130478],"domain_scores_gemma":[0.997785,0.0006355566,0.0001914286,0.0009539726,0.00005327897,0.0003808031],"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":[0.001029,0.001174727,0.003519101,0.0002178871,0.0000632358,0.0001322006,0.0003827827,0.0694078,0.1052206,0.0009045408,0.000007142403,0.817941],"study_design_scores_gemma":[0.001337926,0.0007488831,0.001872346,0.0004207144,0.00005552781,0.00003242002,0.00004152592,0.9696585,0.007712794,0.0137701,0.003519843,0.0008294146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975446,0.0000118198,0.0002837305,0.0001098799,0.0001998736,0.0007771713,0.000469121,0.0001810487,0.000422712],"genre_scores_gemma":[0.9201708,0.000001088492,0.07868191,0.0006511557,0.0001441124,0.00008316244,0.0001595089,0.00008326454,0.0000249894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9002507,"threshold_uncertainty_score":0.9999108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1247299575651155,"score_gpt":0.3068138932524248,"score_spread":0.1820839356873094,"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."}}