{"id":"W1976796379","doi":"10.4028/www.scientific.net/amm.431.356","title":"A Preliminary Assessment of the Competitiveness of Wave Energy Technologies: A Regionally Detailed Analysis","year":2013,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Wave and Wind Energy Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wave power; Electricity; Constraint (computer-aided design); Electricity generation; Software deployment; Environmental science; Energy (signal processing); Engineering; Power (physics); Physics; Electrical engineering; Mathematics; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000526228,0.0005402098,0.0006824622,0.001021157,0.0002558217,0.001302904,0.000445766,0.0005172715,0.003994683],"category_scores_gemma":[0.001040266,0.0002709213,0.001526263,0.00166472,0.0002294069,0.0009081538,0.0006069856,0.0003501237,0.0003770287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007182248,"about_ca_system_score_gemma":0.0004796839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02270778,"about_ca_topic_score_gemma":0.0270627,"domain_scores_codex":[0.9997796,0.0000733904,0.000009878174,0.00004108255,0.00004422415,0.00005184033],"domain_scores_gemma":[0.9996383,0.0001282215,0.00008233471,0.00003101715,0.00009649524,0.00002357692],"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":[0.0002173477,0.00005245949,0.06328371,0.0001543581,0.0004779491,0.0004845338,0.0001744515,0.907835,0.005793262,0.008290428,0.001091358,0.01214514],"study_design_scores_gemma":[0.00007039288,0.0006780518,0.2862822,0.00005604433,0.0005826302,0.0004122739,0.00158592,0.6868544,0.003651917,0.007249592,0.01247216,0.000104399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9576728,0.0005870839,0.01705674,0.0002757357,0.00001105297,0.00007091771,0.004646309,0.000105089,0.01957424],"genre_scores_gemma":[0.9902445,0.0003377986,0.005895879,0.00003986369,0.000007752185,0.00003309001,0.001455996,0.00003244631,0.001952571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02270778,"threshold_uncertainty_score":0.04515123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007492148049542298,"score_gpt":0.1825056392825474,"score_spread":0.1750134912330051,"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."}}