{"id":"W3215748244","doi":"10.1109/mwsym.2001.967324","title":"A robust algorithm for automatic development of neural network models for microwave applications","year":2002,"lang":"en","type":"article","venue":"","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Artificial neural network; Computer science; Algorithm; Process (computing); Artificial intelligence; Time delay neural network; Test data; Machine learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008083402,0.00008219831,0.000110332,0.0000113604,0.0001380135,0.000008893901,0.00008771668,0.00004083182,0.00003611615],"category_scores_gemma":[0.000002318148,0.00006677515,0.00005574824,0.00009929105,0.00004426183,0.00005403048,0.00003702994,0.00002441387,0.00001602617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004554554,"about_ca_system_score_gemma":0.000003862418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001466044,"about_ca_topic_score_gemma":0.000165021,"domain_scores_codex":[0.9993326,0.000005328724,0.0002053266,0.0001681396,0.00008602294,0.0002025698],"domain_scores_gemma":[0.9997061,0.00006102297,0.0000593444,0.000121084,0.000009793426,0.00004268199],"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":[7.480424e-7,0.00003582449,0.0000212882,0.00001052858,0.000009662657,6.179768e-8,0.0002576577,0.04409507,0.0004111747,0.00004325569,0.003563896,0.9515508],"study_design_scores_gemma":[0.0001987016,0.00001601192,0.0004044063,0.00000617479,0.00001351216,0.00000306145,0.00004206239,0.9928581,0.00116767,0.001332187,0.003861874,0.0000962419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003299899,0.00004944855,0.9841369,0.0001031771,0.00004518363,0.0008095108,0.000001225144,0.0000372208,0.01151743],"genre_scores_gemma":[0.1378553,0.000001869608,0.8609295,0.0001556137,0.00005403952,0.00004066682,0.000006521895,0.00001104136,0.0009454121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9514546,"threshold_uncertainty_score":0.2723012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03703632131021697,"score_gpt":0.220614310610682,"score_spread":0.1835779893004651,"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."}}