{"id":"W2068190762","doi":"10.5194/tc-9-1303-2015","title":"A ground temperature map of the North Atlantic permafrost region based on remote sensing and reanalysis data","year":2015,"lang":"en","type":"article","venue":"The cryosphere","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Norges Forskningsråd; Universitetet i Oslo; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Permafrost; Remote sensing; Climatology; Geology; Environmental science; Meteorology; Oceanography; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.0003182444,0.0001643015,0.0002026811,0.00001854148,0.0002442596,0.0001066542,0.0004458846,0.00007852026,0.000282792],"category_scores_gemma":[0.00002894501,0.00008736582,0.00005769866,0.0002897744,0.000150626,0.0001140418,0.00006366057,0.000213823,0.00004546489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006046565,"about_ca_system_score_gemma":0.00005787639,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02785511,"about_ca_topic_score_gemma":0.4135855,"domain_scores_codex":[0.9987498,0.0001672698,0.0001871768,0.0003172563,0.000354227,0.000224261],"domain_scores_gemma":[0.9984778,0.0001646112,0.0001234983,0.001068289,0.00006129891,0.0001044966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001450992,0.00001174597,0.9658419,0.00006204707,0.00003832952,0.00004664688,0.0009093853,0.0009588595,0.00006152647,0.000001809003,0.02491744,0.007005148],"study_design_scores_gemma":[0.0005350471,0.0001119014,0.6768851,0.0001559271,0.0001887072,0.00008216376,0.001146729,0.2970782,0.000008557234,0.0001259126,0.02340892,0.0002729206],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936874,0.001039964,0.00002470656,0.002451256,0.0002829341,0.0001959534,0.001553372,0.00001880331,0.0007456048],"genre_scores_gemma":[0.9953884,0.00007488445,0.00007176172,0.0009546448,0.0002084741,5.714901e-8,0.00269296,0.000007238245,0.0006015222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3857304,"threshold_uncertainty_score":0.9786185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05479061957989843,"score_gpt":0.2360050048532689,"score_spread":0.1812143852733705,"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."}}