{"id":"W2028852430","doi":"10.1080/00221686.2014.917809","title":"Characterizing the influence of upstream obstacles on very low head water-turbine performance","year":2014,"lang":"en","type":"article","venue":"Journal of Hydraulic Research","topic":"Cavitation Phenomena in Pumps","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Turbine; Upstream (networking); Mechanics; Head (geology); Inlet; Water turbine; Power (physics); Materials science; Environmental science; Obstacle; Marine engineering; Physics; Geology; Computer science; Engineering; Mechanical engineering; Thermodynamics; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001752862,0.0003436096,0.0004269858,0.0002103978,0.0003322335,0.0005267499,0.0003837812,0.0003350986,0.001263766],"category_scores_gemma":[0.0007684046,0.0002026563,0.0002226464,0.000138377,0.0005142096,0.0003065931,0.000626834,0.0003311633,0.0002238469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003438004,"about_ca_system_score_gemma":0.0003935792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002132268,"about_ca_topic_score_gemma":0.002859255,"domain_scores_codex":[0.9998004,0.00001979938,0.000005705865,0.00003196852,0.00006567739,0.00007645757],"domain_scores_gemma":[0.9994246,0.0002821904,0.00009503835,0.00004114518,0.0000803404,0.00007675432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001386401,0.0004663863,0.028743,0.0002116629,0.00003642439,0.0009538432,0.000155621,0.2208922,0.7341586,0.0004669626,0.0001993285,0.01232964],"study_design_scores_gemma":[0.00006431922,0.003883422,0.09171274,0.00002262266,0.00008830754,0.0002752897,0.0004348723,0.3682536,0.5339009,0.0003053686,0.0009526642,0.0001058195],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969553,0.00001732187,0.00256006,0.000007236189,0.000002977391,0.000009620941,0.0000315171,0.0000350922,0.000380915],"genre_scores_gemma":[0.999196,0.00001572982,0.0004953829,0.000002966358,6.112873e-7,0.000005369792,0.00002932164,0.000006484042,0.0002482308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002132268,"threshold_uncertainty_score":0.004239798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721935920136576,"score_gpt":0.2928631167381272,"score_spread":0.2656437575367614,"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."}}