{"id":"W2790867284","doi":"","title":"The Importance of Wave Break Events for Synoptic Scale Buildups of Zonal Available Potential Energy","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Scale (ratio); Climatology; Synoptic scale meteorology; Geology; Energy (signal processing); Meteorology; Geography; Cartography; Statistics; 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":[0.000951038,0.0002400251,0.0002230218,0.001103438,0.0004108397,0.001735881,0.0003612441,0.0005884315,0.002628322],"category_scores_gemma":[0.009013002,0.0003415387,0.0003333023,0.001086344,0.0004064555,0.00228056,0.0006509887,0.0005759526,0.0003013389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003331724,"about_ca_system_score_gemma":0.0002857148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009951117,"about_ca_topic_score_gemma":0.01478869,"domain_scores_codex":[0.999816,0.00004014186,0.00002195073,0.00006522904,0.00002614062,0.00003064402],"domain_scores_gemma":[0.995849,0.002426592,0.0007460897,0.0004202275,0.0003261541,0.0002318697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005048058,0.00008484935,0.9381262,0.0001304177,0.0002741228,0.0001519749,0.0002032373,0.0121084,0.007435427,0.002540332,0.002151414,0.03628881],"study_design_scores_gemma":[0.000007084848,0.00001939969,0.9842726,0.00001476007,0.00004023199,0.00002887355,0.0001122129,0.01358751,0.0005080276,0.0008531017,0.0005429926,0.00001325519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843081,0.0007820037,0.003834571,0.0005325804,0.000118291,0.0000269769,0.002884741,0.0001415758,0.007371236],"genre_scores_gemma":[0.9984241,0.0001388685,0.0005789458,0.00002836802,0.00002907214,0.000005463171,0.0005362041,0.00002363555,0.0002353653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009951117,"threshold_uncertainty_score":0.01978636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008861010448746655,"score_gpt":0.1824453410156859,"score_spread":0.1735843305669393,"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."}}