{"id":"W4400310103","doi":"10.1016/j.renene.2024.120913","title":"Impacts of hard marine growth on 2DoF VIV-based piezoelectric energy harvesting","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Fluid Dynamics and Vibration Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Energy harvesting; Reynolds number; Vibration; Towing; Piezoelectricity; Marine energy; Mechanics; Oscillation (cell signaling); Vortex shedding; Vortex-induced vibration; Power (physics); Renewable energy; Materials science; Acoustics; Environmental science; Control theory (sociology); Engineering; Marine engineering; Turbulence; Physics; Computer science; Electrical engineering; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001119108,0.0001959118,0.0002444727,0.0005188966,0.00003714154,0.00008708331,0.0001268671,0.00009517906,0.0002099724],"category_scores_gemma":[0.00004080302,0.0001928955,0.0001460953,0.001112085,0.00001692198,0.0001302678,0.00002152107,0.00007442399,0.000006802724],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000110742,"about_ca_system_score_gemma":0.0000752577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01531156,"about_ca_topic_score_gemma":0.002277093,"domain_scores_codex":[0.9989367,0.0000280195,0.0002998953,0.0002261435,0.0002164885,0.0002927286],"domain_scores_gemma":[0.9994599,0.0001044584,0.00003152287,0.0002351192,0.00005502958,0.0001140162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008483141,0.00002471092,0.00008574378,0.0001138244,0.0001094012,0.00001582464,0.000006374978,0.9410949,0.02580651,0.01574165,0.004007851,0.01298474],"study_design_scores_gemma":[0.0001335041,0.0000688545,0.00005193567,0.0000842846,0.00003637093,0.000002577273,0.000001873881,0.9060484,0.08088678,0.0007318507,0.01177305,0.000180542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02298036,0.00366739,0.9253008,0.0003289893,0.0008536651,0.0000437606,0.00003141327,0.0009335707,0.04586007],"genre_scores_gemma":[0.9919436,0.0006207795,0.001243132,0.0001448339,0.000147764,0.00001142198,0.00009654146,0.00006611351,0.005725808],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9689633,"threshold_uncertainty_score":0.9912456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005833170362547381,"score_gpt":0.1893167533286157,"score_spread":0.1834835829660683,"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."}}