{"id":"W2005076772","doi":"10.1002/joc.2339","title":"Buoy wind inhomogeneities related to averaging method and anemometer type: application to long time series","year":2011,"lang":"en","type":"article","venue":"International Journal of Climatology","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Division of Ocean Sciences; Fisheries and Oceans Canada","keywords":"Buoy; Anemometer; Scalar (mathematics); Wind speed; Meteorology; Environmental science; Climatology; Geology; Geography; Oceanography; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.002972156,0.0003144122,0.0002653421,0.001142086,0.0004051844,0.0006781142,0.0003573224,0.000418344,0.0007192995],"category_scores_gemma":[0.0133685,0.0001726748,0.0004260982,0.001979181,0.0003168472,0.0005055934,0.0005070296,0.0004152797,0.0001045861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005003647,"about_ca_system_score_gemma":0.0003143013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01409625,"about_ca_topic_score_gemma":0.01006958,"domain_scores_codex":[0.9991773,0.0003931257,0.00006635824,0.0001513905,0.0001729559,0.00003889982],"domain_scores_gemma":[0.9903874,0.007213835,0.001012572,0.0006968403,0.0005338475,0.0001554335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004456769,0.0002465704,0.7431017,0.00008128842,0.0003929362,0.000421644,0.0003360756,0.1188749,0.004657889,0.001333538,0.001574284,0.1285334],"study_design_scores_gemma":[0.00003115811,0.0001178218,0.5349421,0.0000150443,0.0000563911,0.0001092076,0.0001871738,0.4615565,0.001004889,0.001142405,0.0007995649,0.00003779455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825517,0.0001702645,0.01569243,0.0001000989,0.00002813493,0.00003330279,0.0004445449,0.0001689584,0.0008104902],"genre_scores_gemma":[0.991769,0.00007191207,0.007332027,0.00001305593,0.0000269659,0.00002736266,0.0005262876,0.00001998132,0.0002134787],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409625,"threshold_uncertainty_score":0.02802843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009974060875552887,"score_gpt":0.2512697060906715,"score_spread":0.2412956452151186,"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."}}