{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002270692,0.0005012095,0.0009116145,0.000871926,0.0002289306,0.0002597911,0.001069961,0.0004604193,0.001154632],"category_scores_gemma":[0.002983697,0.0004014707,0.0003435064,0.0007048241,0.0001586191,0.000161447,0.0005286451,0.000871954,0.0007214633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004238713,"about_ca_system_score_gemma":0.0004626988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004539699,"about_ca_topic_score_gemma":0.00002562912,"domain_scores_codex":[0.9951148,0.0004266473,0.001058022,0.001064259,0.001883309,0.0004529711],"domain_scores_gemma":[0.9957674,0.001508489,0.0007678292,0.001245953,0.0005254697,0.0001848921],"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":[0.0002040541,0.0001863111,0.002208389,0.0001619253,0.0002093114,0.00001924079,0.003531145,0.9397373,0.02448375,0.002231969,0.02497316,0.002053489],"study_design_scores_gemma":[0.001706398,0.0008433863,0.012485,0.001290863,0.0002478223,0.00003879645,0.0008999089,0.9667937,0.005360904,0.005964578,0.002731499,0.001637171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8314742,0.001153502,0.1467984,0.001733811,0.003870761,0.002510482,0.0003969058,0.0003842745,0.01167763],"genre_scores_gemma":[0.9897611,0.00001394273,0.002232378,0.00007579424,0.0002015373,0.00005227808,0.0001059595,0.00005289412,0.007504092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1582869,"threshold_uncertainty_score":0.9998437,"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."}}