{"id":"W7084038165","doi":"10.22541/essoar.174250978.85245614/v3","title":"Sizing the largest ocean waves using the SWOT mission","year":2025,"lang":"en","type":"article","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Space Agency; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Sizing; SWOT analysis; Work (physics); Buoy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008748093,0.0005310149,0.0003881158,0.001854272,0.0009101419,0.002112457,0.0004070664,0.0004504615,0.005542764],"category_scores_gemma":[0.003022499,0.000265641,0.0004745061,0.002363972,0.0003942277,0.001322333,0.001232175,0.0009681318,0.0009184994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001825914,"about_ca_system_score_gemma":0.007627105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2739939,"about_ca_topic_score_gemma":0.362379,"domain_scores_codex":[0.9995628,0.00005018998,0.00002364422,0.000053357,0.0001884281,0.0001216698],"domain_scores_gemma":[0.9992354,0.0001118745,0.00009702059,0.0001031804,0.0003144337,0.0001381813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006760918,0.0001875529,0.1287876,0.0004600169,0.0003265111,0.0002923012,0.001760455,0.2565803,0.01997495,0.05655154,0.09839435,0.4360083],"study_design_scores_gemma":[0.0002249515,0.0001913594,0.1134384,0.0003149112,0.0001948725,0.00005427291,0.006802015,0.6819422,0.01311984,0.0470824,0.1364339,0.000200917],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6272629,0.0007266331,0.1920733,0.004184118,0.001016258,0.0007117476,0.03186849,0.003232459,0.1389241],"genre_scores_gemma":[0.8549355,0.0004851119,0.1264751,0.0001997047,0.00006989967,0.0001434249,0.009950862,0.0006122181,0.007128189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739939,"threshold_uncertainty_score":0.5447981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0357594307081688,"score_gpt":0.3436392119402285,"score_spread":0.3078797812320597,"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."}}