{"id":"W4403348514","doi":"10.1016/j.renene.2024.121518","title":"Propulsion and energy extraction performance of wave-powered mechanism considering wave and current","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"National Natural Science Foundation of China","keywords":"Propulsion; Current (fluid); Mechanism (biology); Extraction (chemistry); Aerospace engineering; Energy (signal processing); Engineering; Mechanical engineering; Physics; Chemistry; Electrical engineering; Chromatography","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":[0.00009535406,0.0001878976,0.0002247981,0.0001651757,0.00005551456,0.00005116653,0.00003190753,0.0001059161,0.00001658193],"category_scores_gemma":[0.000004613554,0.0001721961,0.0000362479,0.0001460185,0.00002742645,0.0002305852,0.00003912176,0.00007370785,7.068302e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004292865,"about_ca_system_score_gemma":0.00002116826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001144005,"about_ca_topic_score_gemma":0.0001376711,"domain_scores_codex":[0.999098,0.00002090552,0.0002686581,0.0002402318,0.0001457361,0.0002264609],"domain_scores_gemma":[0.9996678,0.00003607087,0.00003120807,0.0001517166,0.00002507391,0.0000881935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002536497,0.00002998018,0.00004121685,0.001582534,0.0001500964,0.00005238117,0.0002943661,0.1115962,0.576446,0.01723198,0.0009857529,0.2915641],"study_design_scores_gemma":[0.0001595842,0.00006749199,0.00003352763,0.0006047688,0.00002432363,0.0001428758,0.00004135656,0.5906304,0.3339413,0.001144162,0.07297776,0.0002324659],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9133766,0.04779034,0.02616225,0.00003684996,0.003452506,0.00006578457,0.00001260866,0.0005130307,0.008590019],"genre_scores_gemma":[0.9880996,0.01024608,0.0002727835,0.000005670792,0.0002072473,0.00001856158,0.00001383148,0.00004210453,0.001094085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4790342,"threshold_uncertainty_score":0.7021955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512590869256124,"score_gpt":0.2036860324165537,"score_spread":0.1885601237239924,"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."}}