{"id":"W1964298122","doi":"10.1007/s00521-004-0413-4","title":"An ensemble of neural networks for weather forecasting","year":2004,"lang":"en","type":"article","venue":"Neural Computing and Applications","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":318,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Artificial neural network; Computer science; Perceptron; Ensemble forecasting; Multilayer perceptron; Ensemble learning; Weather forecasting; Artificial intelligence; Wind speed; Machine learning; Meteorology","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":[0.001594935,0.0006251361,0.001242438,0.0008577184,0.0005358102,0.0007900903,0.001072535,0.0008419533,0.001854515],"category_scores_gemma":[0.003237456,0.0004596905,0.0008148918,0.0014078,0.0002083317,0.00174069,0.0008406197,0.001519985,0.0005537544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004497574,"about_ca_system_score_gemma":0.0006247033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009114851,"about_ca_topic_score_gemma":0.01387427,"domain_scores_codex":[0.999495,0.0001300707,0.00003990728,0.00010849,0.0001566164,0.00006994775],"domain_scores_gemma":[0.9989457,0.0003318102,0.00005312062,0.0001530612,0.0004676124,0.00004871276],"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":[0.0002428816,0.0001568087,0.002866933,0.00007804741,0.0004554596,0.00006760441,0.00005451561,0.5648243,0.003210268,0.003635397,0.006013168,0.4183946],"study_design_scores_gemma":[0.000005007244,0.00002376788,0.0003361707,0.000004734015,0.00003983462,0.000007666263,0.000004114387,0.9970703,0.0004858704,0.001417585,0.0005997713,0.000005073463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09142225,0.004224581,0.8943192,0.0005614439,0.00109068,0.00007033294,0.0005215311,0.001501111,0.006288859],"genre_scores_gemma":[0.739322,0.001820946,0.2485597,0.0002739006,0.0005097435,0.0001307019,0.001006645,0.0001406414,0.008235573],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009114851,"threshold_uncertainty_score":0.01812363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02977035902122557,"score_gpt":0.2707457742965049,"score_spread":0.2409754152752794,"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."}}