{"id":"W2905329616","doi":"10.5194/tc-13-1513-2019","title":"Rapid retreat of permafrost coastline observed with aerial drone photogrammetry","year":2019,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Horizon 2020; Natural Environment Research Council; Sight Research UK; Transport Canada; National Geographic Society","keywords":"Permafrost; Shore; Context (archaeology); Arctic; Coastal erosion; Climate change; Physical geography; Drone; Oceanography; Aerial survey; Geology; Erosion; Geography; Remote sensing; Archaeology; Geomorphology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0001569982,0.000152174,0.000112329,0.001056587,0.0002467576,0.0003365704,0.0001640528,0.0001665057,0.0007013205],"category_scores_gemma":[0.0005086406,0.00008813055,0.0001375916,0.0009102403,0.0001918776,0.0002745929,0.0003122896,0.0002550242,0.0002215391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000378899,"about_ca_system_score_gemma":0.00027789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05395556,"about_ca_topic_score_gemma":0.1715153,"domain_scores_codex":[0.9998429,0.00001126142,0.000008796748,0.00004252911,0.00006946094,0.00002502354],"domain_scores_gemma":[0.9995771,0.00003987236,0.0001245758,0.00004403176,0.0001645553,0.00004989667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005678348,0.00002295164,0.9668496,0.00004185837,0.00004683509,0.0002847181,0.0007179107,0.001132096,0.01010745,0.00005118412,0.001002611,0.01968594],"study_design_scores_gemma":[0.000001434102,0.0000148854,0.9965306,0.0000115937,0.000005788599,0.00008473138,0.0003254519,0.001387417,0.0005550699,0.00001128415,0.00106679,0.000004972725],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952518,0.00008630262,0.0006822078,0.000022629,0.000009068919,0.000015327,0.001275264,0.000047421,0.002610071],"genre_scores_gemma":[0.997466,0.00005421529,0.0009347801,0.00001568593,0.000004274709,0.0000111088,0.001151403,0.00000615257,0.000356361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05395556,"threshold_uncertainty_score":0.107283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02809902483112053,"score_gpt":0.2065407442294634,"score_spread":0.1784417193983429,"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."}}