{"id":"W2153442034","doi":"10.1029/2004gl019599","title":"Low‐frequency variability of the statistical moments of sea surface winds","year":2004,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Canadian Institute for Advanced Research","funders":"","keywords":"Skewness; Standard deviation; Climatology; Atmospheric sciences; Drag; Environmental science; Meteorology; Geology; Physics; Statistics; Mathematics; Mechanics","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":[0.000538368,0.0001887854,0.0001528152,0.0007001771,0.0002033973,0.0005866236,0.0001544658,0.0001879226,0.0008530286],"category_scores_gemma":[0.004273444,0.00009665125,0.0002613585,0.0005330749,0.0002540745,0.0003940227,0.0002500484,0.0003486114,0.0002333949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418975,"about_ca_system_score_gemma":0.0001366242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001741116,"about_ca_topic_score_gemma":0.001535911,"domain_scores_codex":[0.9998345,0.00003892614,0.00001161638,0.00003450632,0.00005021388,0.00003022884],"domain_scores_gemma":[0.9975044,0.001451122,0.0003729842,0.0001999497,0.0003922677,0.00007922585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000400234,0.0001553037,0.53528,0.000201932,0.0003377245,0.0009453182,0.0004393409,0.2971658,0.03735511,0.0148889,0.004290648,0.1085398],"study_design_scores_gemma":[0.00001364752,0.0001253998,0.6453884,0.00002451768,0.00006625426,0.0005466701,0.0001470013,0.3373262,0.00362698,0.009352138,0.003330306,0.00005240948],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9698235,0.0002293376,0.02463825,0.0001448504,0.00003634366,0.00001127353,0.0007244323,0.0001273684,0.004264554],"genre_scores_gemma":[0.9981572,0.00007958715,0.0006593128,0.000009789586,0.00003474088,0.000005283922,0.0005798908,0.00001501993,0.0004591277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001741116,"threshold_uncertainty_score":0.003461957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03063894328888188,"score_gpt":0.3086209474891856,"score_spread":0.2779820042003037,"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."}}