{"id":"W4224443964","doi":"10.5194/essd-2021-239-ac1","title":"Reply on RC1","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Forest Service; WSL-Institut für Schnee- und Lawinenforschung SLF; Boise State University; Environment and Climate Change Canada; Universität Innsbruck; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Tundra; Snow; Glacier; Pangaea; Remote sensing; Physical geography; Geography; Elevation (ballistics); Taiga; Synthetic aperture radar; Geology; Meteorology; Forestry; Arctic; Geomorphology; Structural basin; Oceanography","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":[0.003413374,0.000916129,0.001100516,0.001164962,0.00302361,0.004768981,0.003184313,0.02142132,0.1519379],"category_scores_gemma":[0.03591086,0.0005016037,0.001422534,0.0009343494,0.002345228,0.004258289,0.00305987,0.01978327,0.1125227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003751416,"about_ca_system_score_gemma":0.004958793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006219762,"about_ca_topic_score_gemma":0.006606061,"domain_scores_codex":[0.9964013,0.0006067754,0.0003577664,0.0007173028,0.001276022,0.0006407361],"domain_scores_gemma":[0.9918846,0.002424695,0.0002854357,0.0007225764,0.00349345,0.001189301],"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":[0.000009127873,0.000003245126,0.0000311822,0.00002127827,0.00000171263,0.00005732047,0.00001634124,0.000004185918,0.00001992779,0.000620443,0.9963149,0.002900218],"study_design_scores_gemma":[0.000006614237,0.000005098997,0.0001256538,0.00006915553,0.00000201174,0.00007385611,0.00005549797,0.000008970056,0.0000397775,0.0005183824,0.9990884,0.000006638314],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002792776,0.003047856,0.0002822968,0.6435225,0.3085653,0.0001154587,0.0008953295,0.0003672666,0.04292471],"genre_scores_gemma":[0.003415887,0.002351271,0.0003007247,0.7591446,0.0873981,0.0002445907,0.0005172252,0.0002667899,0.1463609],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1519379,"threshold_uncertainty_score":0.5082828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05470876542512811,"score_gpt":0.2690869716956473,"score_spread":0.2143782062705192,"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."}}