{"id":"W2890370598","doi":"","title":"Flow Tests Lead to Increased Efficiencies and Benchmark Measurements","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Hydraulic flow and structures","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Penstock; Hydroelectricity; Environmental science; Hydrology (agriculture); Hydro power; Power station; Engineering; Water resource management; Geotechnical engineering; Electrical engineering","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":[0.002493762,0.00224681,0.001838931,0.002161992,0.0009294669,0.002310487,0.001294966,0.003383653,0.02129778],"category_scores_gemma":[0.00974488,0.0005571348,0.0009124834,0.001521002,0.001314892,0.002758597,0.001375071,0.001513298,0.007212229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045882,"about_ca_system_score_gemma":0.0006107655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168967,"about_ca_topic_score_gemma":0.001127478,"domain_scores_codex":[0.9957598,0.0007182204,0.0002924223,0.0006212583,0.002114783,0.0004935843],"domain_scores_gemma":[0.9890718,0.00319018,0.0007852131,0.002548078,0.004019645,0.0003850307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002223512,0.001481931,0.006895351,0.0007110428,0.0001043802,0.0004706763,0.000266398,0.01503006,0.8675342,0.002160221,0.005899724,0.09722248],"study_design_scores_gemma":[0.00006625006,0.0008597192,0.01072658,0.00004120997,0.00005201604,0.0001719248,0.0001476049,0.008540977,0.9716135,0.001635533,0.006087276,0.00005740391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.816797,0.002382777,0.1334068,0.001127751,0.0009988453,0.0002976238,0.002977699,0.01026829,0.03174321],"genre_scores_gemma":[0.9702005,0.0005277708,0.01045057,0.0004198565,0.00009525662,0.00009533859,0.001311888,0.001330965,0.01556782],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02129778,"threshold_uncertainty_score":0.07124817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921358944541808,"score_gpt":0.2216550881669811,"score_spread":0.2024414987215631,"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."}}