{"id":"W3127466682","doi":"10.5194/tc-15-595-2021","title":"Distributed summer air temperatures across mountain glaciers in the south-east Tibetan Plateau: temperature sensitivity and comparison with existing glacier datasets","year":2021,"lang":"en","type":"article","venue":"˜The œcryosphere","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Water Futures; Agencia Nacional de Investigación y Desarrollo; European Commission; Inner Mongolia Agricultural University; National Natural Science Foundation of China; University of Saskatchewan","keywords":"Glacier; Glacier terminus; Accumulation zone; Geology; Plateau (mathematics); Glacier mass balance; Climatology; Precipitation; Air temperature; Context (archaeology); Physical geography; Atmospheric sciences; Geomorphology; Meteorology; Geography; Ice stream; Cryosphere","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006144125,0.0002912979,0.0003271946,0.00000566175,0.001181004,0.0003553692,0.0002300286,0.0001028912,0.0001405775],"category_scores_gemma":[0.00006121764,0.0001605965,0.00005194495,0.0007603079,0.000314079,0.0001930357,0.00006494836,0.0005814508,0.00001555461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001366021,"about_ca_system_score_gemma":0.0000754416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003300315,"about_ca_topic_score_gemma":0.2172108,"domain_scores_codex":[0.9980215,0.0003008172,0.0002799187,0.0004722069,0.0003762639,0.0005492344],"domain_scores_gemma":[0.9988408,0.000403338,0.0001117073,0.0004637973,0.00008391666,0.00009643553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000859277,0.00003788718,0.9826554,0.00002512335,0.00006435285,0.0002204006,0.005346526,0.005707155,0.00005961688,0.00006040357,0.004658611,0.001078606],"study_design_scores_gemma":[0.0004760257,0.00004573447,0.9258845,0.00004377334,0.00003631146,0.0001013851,0.04433956,0.004359441,0.00001984766,0.00002320728,0.02440236,0.0002678735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992106,0.002331853,0.0000635429,0.001545726,0.000139739,0.0002738623,0.003357226,0.00003528599,0.0001467188],"genre_scores_gemma":[0.995879,0.00002923492,0.0002197862,0.001251197,0.000126452,0.000005123902,0.002331874,0.000008583046,0.0001487633],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2139105,"threshold_uncertainty_score":0.9083451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544425210550721,"score_gpt":0.2565829223068587,"score_spread":0.2311386702013515,"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."}}