{"id":"W2335938893","doi":"","title":"Bernoulli Effects on Pressure-Activated Water Level Gauges","year":2015,"lang":"en","type":"article","venue":"The International Hydrographic Review","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Bernoulli's principle; Water level; Instrumentation (computer programming); Hydrostatic equilibrium; Gauge (firearms); Hydrostatic pressure; Pressure measurement; Environmental science; Mechanics; Engineering; Marine engineering; Physics; Mechanical engineering; Materials science; Computer science; Geography; Aerospace 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":[0.001837724,0.0006585938,0.0008010845,0.000844477,0.000460407,0.001254709,0.001385513,0.0009961544,0.001824333],"category_scores_gemma":[0.009316176,0.0007020459,0.000487823,0.001380064,0.001375628,0.0019227,0.001443858,0.001428378,0.0005063554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007834444,"about_ca_system_score_gemma":0.0009284105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003349707,"about_ca_topic_score_gemma":0.001945264,"domain_scores_codex":[0.9980084,0.0007502449,0.00009562896,0.0002091288,0.0008513592,0.0000852158],"domain_scores_gemma":[0.9969192,0.002011091,0.0003945161,0.0002337672,0.0003797936,0.0000616669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001290809,0.00005002443,0.003084895,0.0002853272,0.00005331364,0.0003283258,0.0002583169,0.702702,0.01790564,0.1806712,0.002107861,0.09242392],"study_design_scores_gemma":[0.00002643779,0.00006034997,0.001069813,0.0000668784,0.00002265536,0.0001657521,0.0000140815,0.9644296,0.00638317,0.02091343,0.006792329,0.00005539884],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05925387,0.002514669,0.9140601,0.0008417771,0.0006208089,0.00009211252,0.0001800118,0.0005690781,0.02186767],"genre_scores_gemma":[0.7890301,0.006040712,0.1837882,0.0004613108,0.0003676867,0.0002293307,0.0001896707,0.0002524443,0.01964041],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003349707,"threshold_uncertainty_score":0.009718955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0529999037216361,"score_gpt":0.3016123145042771,"score_spread":0.248612410782641,"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."}}