{"id":"W4414229065","doi":"10.1073/pnas.2513381122","title":"Sizing the largest ocean waves using the SWOT mission","year":2025,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Space Agency; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Swell; Significant wave height; Wave height; Storm; Rogue wave; Infragravity wave; Wind wave; Wave model; Range (aeronautics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001674767,0.00008725313,0.0001055491,0.00009005747,0.001009678,0.0000769662,0.000853311,0.00005535572,0.00001894963],"category_scores_gemma":[0.0003523234,0.00003476655,0.00007938456,0.0009224787,0.0009864249,0.0002675912,0.00007080727,0.0002005891,8.713153e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005927786,"about_ca_system_score_gemma":0.00004834352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007805217,"about_ca_topic_score_gemma":5.62876e-7,"domain_scores_codex":[0.9985975,0.00001571084,0.0002508632,0.0001803188,0.0007763045,0.0001792975],"domain_scores_gemma":[0.9992778,0.0003006526,0.0002622709,0.00001187448,0.0001242979,0.00002313751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001512299,0.0001415697,0.50764,0.0006072117,0.0002483458,1.194508e-7,0.004582548,0.07684108,0.2382318,0.1109871,0.01157545,0.04899349],"study_design_scores_gemma":[0.0001791285,0.00003764217,0.5261062,0.0004701121,0.00004908032,0.00002698983,0.002764492,0.3329547,0.057006,0.07747199,0.002764263,0.0001694349],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721335,0.0006847036,8.836498e-7,0.01271936,0.00008413987,0.0001400543,0.000008044795,0.000007887182,0.01422148],"genre_scores_gemma":[0.9980253,0.00004018123,0.0007719247,0.0007771038,0.0001002567,4.929556e-9,1.261944e-7,0.000001156813,0.0002839422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2561136,"threshold_uncertainty_score":0.7765732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243025745664444,"score_gpt":0.290320653350285,"score_spread":0.2478903958936406,"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."}}