{"id":"W2077298848","doi":"10.1371/journal.pone.0047598","title":"Catching the Right Wave: Evaluating Wave Energy Resources and Potential Compatibility with Existing Marine and Coastal Uses","year":2012,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Gordon and Betty Moore Foundation","keywords":"Wave power; Marine energy; Renewable energy; Capital cost; Profitability index; Environmental resource management; Marine spatial planning; Environmental science; Energy planning; Energy (signal processing); Engineering; Business; Ecology; Physics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001487004,0.0005678426,0.0003797388,0.002911181,0.0005826184,0.00198527,0.0006480356,0.000606573,0.00250906],"category_scores_gemma":[0.007524813,0.000302428,0.000630753,0.003394536,0.0007825393,0.001289444,0.001174598,0.0003400693,0.0002637435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003270179,"about_ca_system_score_gemma":0.002408974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2564107,"about_ca_topic_score_gemma":0.4767072,"domain_scores_codex":[0.9989204,0.0002316052,0.0001032768,0.0001137175,0.0004589904,0.0001721367],"domain_scores_gemma":[0.9959377,0.001727558,0.0009676156,0.0001328028,0.0008398725,0.0003944678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001914471,0.0001117664,0.9458316,0.00005395356,0.0001416342,0.0001542892,0.0002445339,0.03608309,0.001028866,0.0007584033,0.0003376979,0.01506269],"study_design_scores_gemma":[0.00002621266,0.0003110018,0.7446015,0.00002882732,0.0001119879,0.0001115673,0.004258723,0.2474074,0.001035878,0.001040109,0.001025726,0.00004102897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992247,0.00004832514,0.002918161,0.00005221538,0.000002165342,0.00006372674,0.0006223387,0.00002553182,0.004020549],"genre_scores_gemma":[0.9941578,0.00005001351,0.004387611,0.00000692221,0.000001292738,0.00002957607,0.0006215963,0.000008601497,0.0007365475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2564107,"threshold_uncertainty_score":0.5098365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04705311232030991,"score_gpt":0.2245782164540638,"score_spread":0.1775251041337538,"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."}}