{"id":"W1566563892","doi":"10.1109/igarss.2004.1370182","title":"Temporal snow cover variation and terrain characteristics of peary caribou habitats in the canadian arctic using optical and InSAR data","year":2004,"lang":"en","type":"article","venue":"","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Government of Nunavut; Natural Resources Canada","funders":"","keywords":"Snow; Terrain; Snow cover; Remote sensing; Environmental science; Arctic; Interferometric synthetic aperture radar; Physical geography; Synthetic aperture radar; Foraging; Geography; Ecology; Meteorology; Geology; Oceanography; Cartography; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003655113,0.0001512711,0.0001394039,0.001094636,0.0007133829,0.0005522628,0.0002543423,0.0001272301,0.0004727785],"category_scores_gemma":[0.001077304,0.0001397173,0.0001640027,0.001785461,0.0003010299,0.0002391623,0.0002984144,0.0001226245,0.0000464301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002459677,"about_ca_system_score_gemma":0.00254625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9461291,"about_ca_topic_score_gemma":0.9866018,"domain_scores_codex":[0.9998228,0.00001928634,0.000007651419,0.0000313744,0.00006439967,0.00005457305],"domain_scores_gemma":[0.9995376,0.00007459521,0.00008203048,0.00002230982,0.0002197887,0.00006374956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008007364,0.00001099297,0.9886456,0.000016639,0.0000600197,0.00006477723,0.0006153383,0.0009150013,0.001694607,0.00007635361,0.0001819986,0.007638701],"study_design_scores_gemma":[9.945802e-7,0.000003833466,0.9985387,0.000003457905,0.00001115178,0.00002282122,0.0003231611,0.0007185653,0.0000956006,0.00001123564,0.0002676793,0.000002714053],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990508,0.00009270741,0.0001171542,0.00001548909,9.382123e-7,0.000002419207,0.0003167449,0.000004134257,0.0003995459],"genre_scores_gemma":[0.9989262,0.0001111253,0.0001707352,0.000004759763,0.00000101596,0.000002182336,0.0005422387,0.00000202088,0.0002396916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05387086,"threshold_uncertainty_score":0.1083761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07527562193423921,"score_gpt":0.2642912305607852,"score_spread":0.189015608626546,"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."}}