{"id":"W1781190018","doi":"10.1139/e2012-031","title":"Modelling and mapping permafrost at high spatial resolution in Wapusk National Park, Hudson Bay Lowlands<sup>1</sup>This article is one of a series of papers published in this CJES Special Issue on the theme of<i>Fundamental and applied research on permafrost in Canada</i>.<sup>2</sup>Earth Science Sector Contribution 20110058.","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Alberta; Parks Canada; Geological Survey of Canada; Natural Resources Canada","funders":"Natural Resources Canada; University of Manitoba","keywords":"Permafrost; Land cover; Geology; Physical geography; Longitude; Peat; Elevation (ballistics); Latitude; Terrain; Active layer; Spatial distribution; Bay; Remote sensing; Land use; Cartography; Geography; Oceanography; Geodesy; Archaeology; Layer (electronics); Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002043241,0.0002157864,0.0001648477,0.0004321754,0.0003286438,0.0009082404,0.0006295281,0.0002531161,0.0008355623],"category_scores_gemma":[0.0005111436,0.0002352053,0.000291517,0.0007439592,0.0002184207,0.0002652548,0.0002954184,0.0001930669,0.0001386827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002797232,"about_ca_system_score_gemma":0.002675117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7823939,"about_ca_topic_score_gemma":0.8786708,"domain_scores_codex":[0.9999077,0.00001354214,0.000006419674,0.00003007603,0.00002231783,0.00001992968],"domain_scores_gemma":[0.9998119,0.00005059479,0.0000274186,0.00001537671,0.00006024121,0.00003446509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002046556,0.0001735537,0.5782221,0.000151265,0.0002079525,0.0003347019,0.0008303135,0.3786739,0.004681033,0.0006518409,0.002580564,0.0332882],"study_design_scores_gemma":[0.00004782656,0.00003873427,0.3432288,0.00003375371,0.00005245072,0.00005236405,0.0007650499,0.6518168,0.001371083,0.0002121134,0.002358703,0.00002245129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962431,0.0001070309,0.0009868431,0.000073257,0.000005336226,0.0000184717,0.001461188,0.0001142168,0.0009905322],"genre_scores_gemma":[0.9946223,0.0001188693,0.003189088,0.00001002536,0.000001918635,0.00001721449,0.001407034,0.00001663849,0.000616791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2176061,"threshold_uncertainty_score":0.4377753,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05749576678632493,"score_gpt":0.2395883188661604,"score_spread":0.1820925520798355,"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."}}