{"id":"W4306362369","doi":"10.3390/atmos13101686","title":"Rapid Warming in the Australian Alps from Observation and NARCliM Simulations","year":2022,"lang":"en","type":"article","venue":"Atmosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Australian Research Council; National Cancer Institute; Australian Government; Climate Extremes; National Computational Infrastructure","keywords":"Snowpack; Albedo (alchemy); Environmental science; Snow; Climate change; Global warming; Climatology; Biodiversity; Spatial variability; Snow cover; Range (aeronautics); Ecosystem; Physical geography; Atmospheric sciences; Geography; Ecology; Meteorology; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001460143,0.0000723398,0.00008068874,0.000001645362,0.0005988016,0.00004044729,0.0001423691,0.00001768129,0.005781545],"category_scores_gemma":[0.00002459321,0.0000565029,0.00002227337,0.0003335931,0.00003004719,0.0001171173,0.00002253292,0.0001357978,0.00001085814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006104083,"about_ca_system_score_gemma":0.00001511691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01394506,"about_ca_topic_score_gemma":0.01649503,"domain_scores_codex":[0.9992889,0.00008292343,0.0001454354,0.0001591,0.0001743791,0.0001492643],"domain_scores_gemma":[0.9994528,0.0003379762,0.00004325445,0.0001307169,0.00001098323,0.00002422944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006070284,0.0000106473,0.9213938,0.000001584644,0.000007943117,0.000004650738,0.002008465,0.0468673,0.000002808609,0.00007728944,0.001783387,0.02783603],"study_design_scores_gemma":[0.000153675,0.0000353144,0.8619901,0.000002216612,0.00000799212,0.000001273068,0.008086134,0.03030134,4.416226e-7,0.0007965955,0.09855632,0.00006859437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947097,0.0009582454,0.00001295521,0.003377712,0.0001529746,0.0001516326,0.000109521,0.00001612603,0.0005111838],"genre_scores_gemma":[0.9973915,0.00005287746,0.001105285,0.0009220451,0.00006376515,0.00000512819,0.0002108502,0.000002234543,0.0002462898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09677293,"threshold_uncertainty_score":0.9951273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04405167836867222,"score_gpt":0.2348022600012186,"score_spread":0.1907505816325464,"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."}}