{"id":"W2500682163","doi":"10.1016/j.energy.2016.07.019","title":"Energy harvesting from ocean waves by a floating energy harvester","year":2016,"lang":"en","type":"article","venue":"Energy","topic":"Innovative Energy Harvesting Technologies","field":"Engineering","cited_by":168,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Lever; Mechanical energy; Energy harvesting; Amplitude; Vibration; Spring (device); Acoustics; Power (physics); Energy (signal processing); Mechanics; Wind wave; Physics; Electric potential energy; Added mass; Electrical engineering; Engineering; Mechanical engineering; Optics; Thermodynamics","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":[0.00007018677,0.0001820103,0.0002256647,0.0001347112,0.0002353579,0.00030392,0.0002792767,0.0003139183,0.00141265],"category_scores_gemma":[0.00009979271,0.0001213042,0.0002197924,0.0002043714,0.0002883672,0.0005238453,0.0004647856,0.0003174419,0.0003711844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000115936,"about_ca_system_score_gemma":0.0001042542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404561,"about_ca_topic_score_gemma":0.0003105196,"domain_scores_codex":[0.9999566,0.000001837532,0.000002076773,0.00001048493,0.00002184519,0.000007207208],"domain_scores_gemma":[0.9999563,0.00001228609,0.000007794438,0.000008309885,0.000008847219,0.000006584778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007401552,0.00002199122,0.0005975593,0.00005168733,0.00001264935,0.000190085,0.00005133839,0.002840753,0.9705926,0.002357565,0.0006149656,0.02259476],"study_design_scores_gemma":[0.00004886092,0.0003624094,0.003967114,0.00002402381,0.00005373261,0.0005534426,0.0001864384,0.1101049,0.8670075,0.00391068,0.01372484,0.00005590607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8251801,0.001300767,0.1537226,0.000964258,0.0004169408,0.00004072707,0.0001682035,0.0004238033,0.0177825],"genre_scores_gemma":[0.9713356,0.0004017447,0.01720812,0.00008961804,0.00005268604,0.00001803138,0.00005922261,0.00003096018,0.01080383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00141265,"threshold_uncertainty_score":0.004725814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008799638460813686,"score_gpt":0.1826869707918253,"score_spread":0.1738873323310116,"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."}}