{"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 cryosphere","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009416524,0.0005931655,0.0004649941,0.001637753,0.00029698,0.00074464,0.0006311111,0.0004099931,0.0009928113],"category_scores_gemma":[0.001352037,0.0001597511,0.0006907886,0.002483155,0.0002459377,0.0003803462,0.0006581477,0.0004664492,0.0004495562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005117059,"about_ca_system_score_gemma":0.0004670566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03948461,"about_ca_topic_score_gemma":0.05222467,"domain_scores_codex":[0.9996014,0.00008702038,0.00003635106,0.0001429291,0.00007823858,0.00005398912],"domain_scores_gemma":[0.9991118,0.000159511,0.0001464645,0.0001863399,0.0002688838,0.0001269279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007053035,0.0003038844,0.9162196,0.0004180471,0.001039931,0.0003471016,0.0005179133,0.03486225,0.005054052,0.0002058337,0.01137712,0.02894898],"study_design_scores_gemma":[0.00006929822,0.00005711935,0.97176,0.00004454101,0.00005537866,0.00008361114,0.0002541805,0.02307048,0.0005398688,0.00009709584,0.003946245,0.00002209929],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9506008,0.0003281735,0.0005043849,0.00006957064,0.0000333479,0.00002084178,0.04735767,0.0003098359,0.0007754075],"genre_scores_gemma":[0.7883377,0.0001440944,0.001478494,0.00003533702,0.00004427887,0.00005323791,0.2094516,0.00005167762,0.0004034987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03948461,"threshold_uncertainty_score":0.07850957,"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."}}