{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002505636,0.0004882386,0.0006519196,0.0002569012,0.0001570138,0.0003315496,0.0008622021,0.0004710109,0.0000285963],"category_scores_gemma":[0.0001066227,0.0005332098,0.0002259757,0.0002780993,0.0001155339,0.0001297432,0.000577038,0.0006603105,0.00003387452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002713811,"about_ca_system_score_gemma":0.0002413418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003893792,"about_ca_topic_score_gemma":0.001667473,"domain_scores_codex":[0.99585,0.001818659,0.0007253764,0.0006474372,0.000476635,0.0004818705],"domain_scores_gemma":[0.9961811,0.0003696614,0.0002685853,0.00179483,0.001160314,0.0002254728],"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":[0.00002872857,0.0005391287,0.0005028115,0.001050776,0.0007700167,0.0000285607,0.03190716,0.8081046,0.001773497,0.05190453,0.07010297,0.03328722],"study_design_scores_gemma":[0.0003248831,2.581477e-7,0.00001341126,0.001044823,0.00004292561,0.000008195704,0.0001903734,0.9049007,0.01304625,0.0009741843,0.07893734,0.0005166694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02728815,0.003384762,0.822309,0.0006739761,0.001190949,0.0003603679,0.0001282757,0.001229771,0.1434348],"genre_scores_gemma":[0.9774936,0.0006228285,0.01275558,0.00004117894,0.00009178491,0.0001059235,0.0009650867,0.0001327694,0.007791229],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9502054,"threshold_uncertainty_score":0.9997119,"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."}}