{"id":"W7110989911","doi":"10.18739/a2r49gb8x","title":"Arctic circumpolar permafrost region building footprints from &lt;1 meter resolution Maxar satellite imagery and OpenStreetMap, (2018-2023)","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Circumpolar star; Permafrost; Arctic; Terrain; Satellite imagery; Satellite; Geospatial analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0002440939,0.001567756,0.001499046,0.001229455,0.0003804356,0.003589361,0.001549186,0.001137313,0.0003176261],"category_scores_gemma":[0.0007051211,0.00161848,0.0005559856,0.001050593,0.0007292164,0.004299315,0.003260131,0.001528131,0.005774832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003877124,"about_ca_system_score_gemma":0.0005022903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001151604,"about_ca_topic_score_gemma":0.000007712008,"domain_scores_codex":[0.9933511,0.0003721291,0.001492715,0.002476692,0.0009274157,0.001379952],"domain_scores_gemma":[0.9949749,0.0007302465,0.0008444763,0.002558643,0.0001006249,0.0007911192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004894923,0.0001712964,0.004970616,0.0007641271,0.0003815011,0.0009050423,0.000008676591,0.000001708151,0.000343634,0.00002076731,0.9894258,0.00251731],"study_design_scores_gemma":[0.0009550609,0.00005846891,0.001789607,0.00221536,0.0004339742,0.0001531783,0.00002949753,0.00002983931,0.0002730925,0.002088859,0.9903864,0.001586719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001937551,0.007287036,0.0000634376,0.0002584949,0.0007668501,0.001061816,0.9868004,0.0005355908,0.001288865],"genre_scores_gemma":[0.002019478,0.001614919,0.0005433873,0.0007260448,0.0008263609,0.00009127986,0.9932174,0.000312184,0.0006489297],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006417057,"threshold_uncertainty_score":0.999707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01356972541488929,"score_gpt":0.2163040878528753,"score_spread":0.202734362437986,"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."}}