{"id":"W2724332434","doi":"","title":"WEC3: wave energy converters modelling code comparison project","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Dynamic Systems Analysis (Canada)","funders":"","keywords":"Computer science; Code (set theory); Fidelity; Domain (mathematical analysis); Energy (signal processing); Computational fluid dynamics; High fidelity; Systems engineering; Code generation; Simulation; Aerospace engineering; Engineering; Electrical engineering; Programming language; Physics; Telecommunications","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":[0.001625944,0.001591323,0.0009609396,0.0008971103,0.0008732566,0.001309193,0.002858315,0.001604108,0.03201975],"category_scores_gemma":[0.004790232,0.0006815903,0.001466152,0.001563663,0.0004527446,0.002194524,0.001267722,0.002146515,0.009856407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001309914,"about_ca_system_score_gemma":0.002342458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01500675,"about_ca_topic_score_gemma":0.01162789,"domain_scores_codex":[0.9985681,0.0003124957,0.00006427863,0.0001567098,0.0007399445,0.000158429],"domain_scores_gemma":[0.9975536,0.0005382919,0.00007507607,0.0005843861,0.001123245,0.000125392],"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":[0.002646323,0.0005523888,0.002867743,0.0008695874,0.0003905823,0.0003406329,0.0003256544,0.4767663,0.02083297,0.0229524,0.3726836,0.0987718],"study_design_scores_gemma":[0.000962151,0.0002284143,0.001629596,0.00009587641,0.00009047234,0.00009658868,0.0001160906,0.8473793,0.03523482,0.010794,0.1032625,0.0001103007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1577449,0.000922226,0.4338574,0.003858494,0.003078167,0.001070673,0.1168242,0.1064623,0.1761815],"genre_scores_gemma":[0.5410135,0.0005268343,0.2277416,0.001424661,0.0002427927,0.001861643,0.1162221,0.06450282,0.04646403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03201975,"threshold_uncertainty_score":0.1071168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04088614542582239,"score_gpt":0.2283504522861682,"score_spread":0.1874643068603458,"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."}}