{"id":"W2964150140","doi":"","title":"Interpolation of periodic hidden signal measured at steady-operating conditions on hydroelectric turbine runners","year":2019,"lang":"en","type":"preprint","venue":"Espace ÉTS (ETS)","topic":"Probabilistic and Robust Engineering Design","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"","keywords":"Hydroelectricity; Interpolation (computer graphics); SIGNAL (programming language); Turbine; Environmental science; Marine engineering; Control theory (sociology); Computer science; Meteorology; Electrical engineering; Engineering; Physics; Motion (physics); Mechanical engineering; Artificial intelligence","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":[0.000258797,0.0003300608,0.0002957486,0.0004166295,0.0001352202,0.0002987418,0.0004155453,0.0005783596,0.001832118],"category_scores_gemma":[0.00114329,0.0001865604,0.00034121,0.0004175241,0.0002650683,0.0002896327,0.0002815038,0.0003773022,0.0002691097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736848,"about_ca_system_score_gemma":0.0001725327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001825413,"about_ca_topic_score_gemma":0.002249518,"domain_scores_codex":[0.9998949,0.00001947727,0.000003934305,0.00003388248,0.00002448436,0.00002340753],"domain_scores_gemma":[0.9996428,0.0001790246,0.00003665589,0.0000464791,0.00006063764,0.00003425298],"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":[0.003308266,0.0004340194,0.05913606,0.0003782041,0.0001347274,0.001007368,0.0005503188,0.6952196,0.09957532,0.003155636,0.002198337,0.134902],"study_design_scores_gemma":[0.00001031944,0.0001284168,0.06027483,0.00001513106,0.00001605673,0.0000638389,0.00006809601,0.9302486,0.008184466,0.0007177022,0.0002523835,0.00002013331],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651856,0.00007385063,0.03330278,0.00003485604,0.00003021574,0.000007663722,0.0003610723,0.0001639315,0.0008399435],"genre_scores_gemma":[0.9970388,0.00002505433,0.002211325,0.000002564682,0.000007600127,0.000002662362,0.0002805864,0.000014537,0.0004168001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001832118,"threshold_uncertainty_score":0.006129086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04803752019422176,"score_gpt":0.3015224389400838,"score_spread":0.253484918745862,"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."}}