{"id":"W4413964874","doi":"10.1016/j.energy.2025.138330","title":"Turbulence Characteristics Through the Water Column in an Open Channel for Hydrokinetic Turbine Deployment","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Victoria","funders":"Ministry of Higher Education and Scientific Research","keywords":"Water column; Turbulence; Software deployment; Turbine; Environmental science; Marine engineering; Column (typography); Oscillating Water Column; Channel (broadcasting); Oceanography; Meteorology; Geology; Aerospace engineering; Engineering; Physics; Energy (signal processing); Telecommunications; Wave energy converter","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":[0.00009919249,0.0001174208,0.000144906,0.00004411343,0.00005432481,0.00009437508,0.0004173209,0.00004183384,0.00003394059],"category_scores_gemma":[0.00001295188,0.00007810768,0.00001947514,0.0001220003,0.00002226929,0.0001551416,0.0001097425,0.00006476789,0.000005501758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008698293,"about_ca_system_score_gemma":0.00001136997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521395,"about_ca_topic_score_gemma":0.0002484432,"domain_scores_codex":[0.9992875,0.00002145191,0.0002200248,0.0001657883,0.00007054311,0.0002346958],"domain_scores_gemma":[0.9995936,0.00005442513,0.00001595167,0.0002824452,0.00002887276,0.00002469351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002555592,0.0005988159,0.0003850406,0.0004536944,0.0002876805,0.00002740067,0.01446896,0.7805495,0.05558594,0.08740098,0.02534914,0.03463724],"study_design_scores_gemma":[0.002398461,0.0002632193,0.005350458,0.0001706153,0.00005452075,0.000004031691,0.0003419196,0.3355969,0.07081639,0.04100395,0.5432483,0.0007512373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9069018,0.0007744442,0.06519078,0.006394103,0.004699452,0.002340945,0.000146518,0.000615749,0.01293624],"genre_scores_gemma":[0.9959728,0.00003812683,0.0003488984,0.0008015385,0.0000873294,0.0005778256,0.00007781872,0.00002982652,0.002065827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5178992,"threshold_uncertainty_score":0.3185139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148636274836819,"score_gpt":0.2523353212520365,"score_spread":0.2374716937683546,"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."}}