{"id":"W2766982476","doi":"10.1109/oceanse.2017.8084998","title":"Extracting energy from tidal currents: The ocean response at multiple space and time scales","year":2017,"lang":"en","type":"article","venue":"OCEANS 2017 - Aberdeen","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Tidal power; Marine energy; Environmental science; Sink (geography); Hydrology (agriculture); Geology; Renewable energy; Marine engineering; Engineering; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000373294,0.0002195819,0.0001907992,0.00005340431,0.0008607782,0.0002789861,0.0005009561,0.00009869626,0.0001169863],"category_scores_gemma":[0.0003047042,0.0001677834,0.00005269126,0.00003082874,0.0001536272,0.0002883096,0.0003266145,0.0001953411,0.0001774212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000866055,"about_ca_system_score_gemma":0.00002883093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002992553,"about_ca_topic_score_gemma":0.0002037037,"domain_scores_codex":[0.9987408,0.00007324514,0.0001722981,0.0002777593,0.0002767852,0.000459101],"domain_scores_gemma":[0.9985617,0.0004197155,0.00006525039,0.0007053671,0.00003514162,0.0002128383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002199006,0.0002020179,0.1934875,0.00009385803,0.001031348,0.0004110129,0.003993471,0.006158111,0.04832356,0.0003966548,0.6355793,0.1081242],"study_design_scores_gemma":[0.001986036,0.00006451523,0.4012634,0.0001653016,0.00003718633,0.00003954742,0.0001678605,0.06363697,0.01352076,0.0004359641,0.5177807,0.0009018305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985842,0.0009428631,0.0001700451,0.0008045236,0.0002778175,0.00008322556,0.0000795342,0.0001505265,0.01164939],"genre_scores_gemma":[0.9929816,0.0003031518,0.0004219368,0.00002654909,0.0002462569,0.000005756137,0.00003699357,0.00004446255,0.005933347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2077759,"threshold_uncertainty_score":0.6842009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433665395137546,"score_gpt":0.2368527219128602,"score_spread":0.2225160679614847,"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."}}