{"id":"W4284958904","doi":"10.1038/s41597-022-01519-8","title":"Author Correction: A global ensemble of ocean wave climate statistics from contemporary wave reanalysis and hindcasts","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Statistics; Environmental science; Geology; Mathematics","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":[0.004484279,0.001572804,0.001307138,0.004265149,0.001941573,0.00363243,0.002739606,0.002485165,0.09729376],"category_scores_gemma":[0.09476532,0.001106414,0.001391184,0.005697946,0.001061961,0.002483226,0.002521886,0.007479837,0.05184861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00196039,"about_ca_system_score_gemma":0.005156462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01632458,"about_ca_topic_score_gemma":0.01949029,"domain_scores_codex":[0.9944023,0.0007546836,0.001034829,0.0008300099,0.002662195,0.0003158365],"domain_scores_gemma":[0.9313491,0.01263437,0.002776154,0.005624447,0.04646916,0.001146758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002685627,0.000002956506,0.0001476467,0.00009370418,0.00001388182,0.00006869622,0.0000335212,0.00009980478,0.00007678929,0.0007368124,0.9924603,0.006239099],"study_design_scores_gemma":[0.00006292542,0.00001435121,0.00169497,0.000357678,0.00004860715,0.0003552909,0.0001191651,0.0009010913,0.0006654348,0.002225373,0.9935046,0.00005059349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.0008986242,0.000870242,0.006064406,0.02674661,0.9412164,0.00004103638,0.01721555,0.002136681,0.004810479],"genre_scores_gemma":[0.07733687,0.008118752,0.05058087,0.04438279,0.2558052,0.0007005506,0.08780176,0.02394157,0.4513316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09729376,"threshold_uncertainty_score":0.32548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06996294645536501,"score_gpt":0.256796832537155,"score_spread":0.18683388608179,"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."}}