{"id":"W2140348017","doi":"10.1109/oceans.2008.5152031","title":"Assessing the site potential for underwater turbines in tidal channels using numerical modeling and advanced ocean current measurements","year":2008,"lang":"en","type":"article","venue":"","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASL Environmental Sciences (Canada)","funders":"","keywords":"Current (fluid); Underwater; Transect; Ocean current; Oceanography; Marine engineering; Tidal current; Geology; Numerical models; Tidal power; Environmental science; Meteorology; Numerical modeling; Engineering; Geography; Geophysics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006199196,0.0003244736,0.0002758984,0.0008139252,0.0004270603,0.000540285,0.0003582503,0.0003650109,0.000539711],"category_scores_gemma":[0.002554672,0.0002485955,0.0002465025,0.0008545776,0.0003061575,0.0007465105,0.0005659264,0.0001658723,0.00009821125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202954,"about_ca_system_score_gemma":0.001443823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1190654,"about_ca_topic_score_gemma":0.2227075,"domain_scores_codex":[0.9997182,0.00005382079,0.00001487031,0.00004873287,0.0001184015,0.00004587959],"domain_scores_gemma":[0.9989008,0.0004360612,0.0001592188,0.00006716382,0.0003097421,0.0001271121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003115828,0.00008499699,0.6660252,0.00004523137,0.00005991468,0.000304492,0.0002652368,0.2983375,0.01081936,0.0004926868,0.000207632,0.02304615],"study_design_scores_gemma":[0.0000240477,0.0001967581,0.2545046,0.000009986321,0.00004179943,0.00008719088,0.0003885211,0.7411413,0.00300329,0.0002613259,0.0003078423,0.0000332732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997292,0.00002096856,0.002000434,0.000009859065,9.626478e-7,0.00001397222,0.0001164201,0.00002074581,0.0005246442],"genre_scores_gemma":[0.9976801,0.0000179412,0.002012406,0.000001114946,3.895166e-7,0.000007831271,0.0001157867,0.000002826251,0.0001616785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1190654,"threshold_uncertainty_score":0.2367448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06946793609900968,"score_gpt":0.2826638829559021,"score_spread":0.2131959468568924,"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."}}