{"id":"W7110989911","doi":"10.18739/a2r49gb8x","title":"Arctic circumpolar permafrost region building footprints from <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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003366778,0.0008612936,0.0004247328,0.002613658,0.0004545321,0.0008667,0.000527442,0.000427077,0.01175266],"category_scores_gemma":[0.0009221366,0.0002712027,0.0005216522,0.004027186,0.0001944637,0.0008709835,0.0008834709,0.0006658292,0.01228235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168454,"about_ca_system_score_gemma":0.0009779694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08921318,"about_ca_topic_score_gemma":0.1356056,"domain_scores_codex":[0.9996324,0.00002679857,0.00002163648,0.0001019918,0.0001568602,0.00006029425],"domain_scores_gemma":[0.9994317,0.00004132129,0.00006064426,0.00009238383,0.0003088985,0.00006502705],"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":[0.0002295112,0.00007247406,0.02597649,0.000873128,0.0001319267,0.0002404704,0.0005293918,0.00472925,0.002845571,0.001103774,0.9135686,0.04969942],"study_design_scores_gemma":[0.00009315163,0.0000307262,0.152552,0.00038335,0.00005444264,0.0001969742,0.001288595,0.006017798,0.00310748,0.00120561,0.834982,0.00008784582],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00719193,0.0001201128,0.0006665618,0.00004661813,0.00004691946,0.00002424854,0.9872995,0.001041323,0.003562865],"genre_scores_gemma":[0.008908932,0.0001194438,0.002503355,0.00001759173,0.00001610048,0.00005583122,0.9872347,0.0002036629,0.0009404817],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08921318,"threshold_uncertainty_score":0.1773878,"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."}}