{"id":"W4398662818","doi":"10.7910/dvn/7w68ed","title":"Replication Data for: Input-Output Selection for LSTM-Based Reduced-Order State Estimator Design","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Replication (statistics); Estimator; Computer science; State (computer science); Selection (genetic algorithm); Artificial intelligence; Statistics; Algorithm; Mathematics","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":[0.00269604,0.004205194,0.001481578,0.001544491,0.00125123,0.002172692,0.006143321,0.004168055,0.09579684],"category_scores_gemma":[0.01406014,0.00123958,0.002344676,0.002081103,0.0008253928,0.001566661,0.002608225,0.003037414,0.1071542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001977093,"about_ca_system_score_gemma":0.003292785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02693495,"about_ca_topic_score_gemma":0.07313451,"domain_scores_codex":[0.9983766,0.0003994145,0.0001604864,0.0004280671,0.000441814,0.0001936916],"domain_scores_gemma":[0.9961146,0.001176659,0.0001633402,0.001544147,0.0008374029,0.0001637562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001015006,0.00006454024,0.0003961875,0.0003534638,0.00004386182,0.00002179864,0.00001375444,0.00100631,0.0001454637,0.0004897823,0.9932144,0.004149049],"study_design_scores_gemma":[0.002599633,0.0001719112,0.003955715,0.0004664151,0.0001162883,0.0002078603,0.0001154081,0.01813886,0.004485695,0.0131042,0.9564862,0.0001517416],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008840276,0.0001521819,0.00227843,0.0002827519,0.0002114021,0.00009837771,0.987268,0.007208775,0.001616008],"genre_scores_gemma":[0.002313002,0.00005195634,0.004803164,0.000154933,0.00001817196,0.0004972764,0.9897586,0.0007191792,0.001683694],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09579684,"threshold_uncertainty_score":0.3204724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08210544758597346,"score_gpt":0.3238477227827485,"score_spread":0.2417422751967751,"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."}}