{"id":"W2118763052","doi":"10.1109/amtrsi.2005.1469867","title":"The temporal signal of sea ice variability in the polar basin from wavelet analysis of passive microwave sea ice concentrations","year":2005,"lang":"en","type":"article","venue":"","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sea ice; Polar; Sea ice concentration; Wavelet; Geology; Sea ice thickness; Microwave; SIGNAL (programming language); Oceanography; Remote sensing; Wavelet transform; Climatology; Arctic ice pack; Computer science; Telecommunications; Physics; Astronomy","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":[0.0004224702,0.0001384388,0.00006838947,0.0006216988,0.00008109815,0.0003704708,0.00008491625,0.0001071758,0.0002990043],"category_scores_gemma":[0.001972101,0.00008051675,0.0001288872,0.000841926,0.0001364241,0.0002681531,0.0001750388,0.0002383105,0.0001008488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007551561,"about_ca_system_score_gemma":0.0001553385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012424,"about_ca_topic_score_gemma":0.001245,"domain_scores_codex":[0.9999374,0.00001762071,0.000004029566,0.00001155372,0.00001870759,0.00001065036],"domain_scores_gemma":[0.9996151,0.0001933652,0.00008721024,0.00003100456,0.0000531694,0.00002010902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005316819,0.00011755,0.5514188,0.0001313237,0.0001400963,0.0006271625,0.000775091,0.0254897,0.1471425,0.003900107,0.001145103,0.2685809],"study_design_scores_gemma":[0.00001036103,0.0001209582,0.9045593,0.00002643517,0.00008889027,0.0003299734,0.0002705412,0.08058045,0.0112867,0.001207208,0.001499091,0.0000200425],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920351,0.0001142876,0.007100672,0.00002962351,0.000007390644,0.000003006955,0.0001044728,0.00001236633,0.0005932024],"genre_scores_gemma":[0.994826,0.0003332467,0.004241069,0.000005839693,0.00003229104,0.000004349071,0.0003662724,0.0000109351,0.0001800099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001012424,"threshold_uncertainty_score":0.002234221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008400703835442136,"score_gpt":0.208543292986077,"score_spread":0.2001425891506348,"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."}}