{"id":"W2092940402","doi":"10.1109/iceceng.2011.6058252","title":"Integrating wind and wave energy conversion","year":2011,"lang":"en","type":"article","venue":"","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind power; Offshore wind power; Renewable energy; Shore; Marine engineering; Energy (signal processing); Wind wave; Energy transformation; Unit (ring theory); Computer science; Environmental science; Marine energy; Wind hybrid power systems; Meteorology; Intermittent energy source; Engineering; Electrical engineering; Geology; Distributed generation; Physics; Oceanography; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001753587,0.0004942173,0.0003481869,0.0004003333,0.0004811991,0.001330944,0.0004785141,0.0006520284,0.006583344],"category_scores_gemma":[0.0004165465,0.0002702675,0.0004343872,0.0005114146,0.0004177158,0.001657399,0.001682689,0.0005170753,0.001008085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002481593,"about_ca_system_score_gemma":0.0005643241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001945633,"about_ca_topic_score_gemma":0.005171883,"domain_scores_codex":[0.9997084,0.00004914299,0.00001211947,0.00004551802,0.0001291784,0.00005560776],"domain_scores_gemma":[0.9998934,0.00002977446,0.000009002284,0.00002924243,0.00002984083,0.000008631771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002879885,0.0005749624,0.00574551,0.0003206292,0.0001618159,0.002252949,0.0003676758,0.1621488,0.0785543,0.2147901,0.002276666,0.5325186],"study_design_scores_gemma":[0.0002076267,0.001121135,0.01046585,0.0003397508,0.0004102509,0.002980815,0.001658681,0.5432727,0.09188791,0.1735463,0.173911,0.0001977704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1916971,0.001645759,0.5667486,0.0009590861,0.000444173,0.0002556109,0.0001241683,0.0005683866,0.2375572],"genre_scores_gemma":[0.8937376,0.001436382,0.07686218,0.0001730041,0.00008811677,0.00009413839,0.0001184457,0.00005476296,0.02743542],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006583344,"threshold_uncertainty_score":0.02202344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847209068360587,"score_gpt":0.1630972138043753,"score_spread":0.1446251231207694,"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."}}