{"id":"W4415222095","doi":"10.1109/jstars.2025.3622035","title":"Melt Onset Variability in the Northern Canadian Arctic Archipelago From Synthetic Aperture Radar and Passive Microwave Satellite Observations, 1979–2024","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"Canadian Space Agency","keywords":"Synthetic aperture radar; Archipelago; Sea ice; Arctic; Arctic ice pack; Satellite; Sea ice concentration; Sea ice thickness","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":[0.0004570233,0.0003535985,0.0002537252,0.002099379,0.0009964539,0.0009649883,0.0006083669,0.0002394683,0.0008642203],"category_scores_gemma":[0.0008528844,0.0001633656,0.0003509307,0.002437493,0.0003392397,0.00023165,0.0004178492,0.0002560616,0.0001665721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008426951,"about_ca_system_score_gemma":0.008709948,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855034,"about_ca_topic_score_gemma":0.9936488,"domain_scores_codex":[0.9997644,0.000007978751,0.00001317239,0.000050817,0.00009946772,0.00006413397],"domain_scores_gemma":[0.9990664,0.00003954556,0.00009824203,0.00003051749,0.0006512941,0.0001139256],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001353477,0.00003253185,0.9736738,0.00007925973,0.0002125685,0.000137393,0.0006340608,0.002235553,0.004090568,0.0001839045,0.003810331,0.01477461],"study_design_scores_gemma":[0.000002023059,0.000003196391,0.996991,0.00001368591,0.00001902264,0.00001457265,0.0001940896,0.0006571219,0.0001531846,0.000007054714,0.001938723,0.00000629233],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855443,0.0008421617,0.0001776544,0.0001420985,0.00002155012,0.00001410305,0.009443663,0.00003598302,0.003778553],"genre_scores_gemma":[0.9867827,0.000529277,0.0003870509,0.00006424533,0.00001321863,0.00001532202,0.01084593,0.00001185243,0.00135042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01449656,"threshold_uncertainty_score":0.06114209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008519151579524936,"score_gpt":0.1907595282722455,"score_spread":0.1822403766927205,"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."}}