{"id":"W2997171292","doi":"10.5194/acp-20-10493-2020","title":"Moisture origin as a driver of temporal variabilities of the water vapour isotopic composition in the Lena River Delta, Siberia","year":2020,"lang":"en","type":"article","venue":"Atmospheric chemistry and physics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut Pierre-Gilles de Gennes; Siberian Branch, Russian Academy of Sciences; Alberta Agricultural Research Institute; National Aeronautics and Space Administration","keywords":"Environmental science; Moisture; Diurnal cycle; Water cycle; Snow; Precipitation; Climatology; Context (archaeology); Atmospheric sciences; Water vapor; Delta; Arctic; Water content; Geology; Meteorology; Oceanography; Geography","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":[0.000305092,0.0002262874,0.0002427734,0.0005670621,0.0004120342,0.0006611128,0.0001705585,0.0001555604,0.0007904997],"category_scores_gemma":[0.000268294,0.0001220944,0.0002210306,0.0006479637,0.0002315031,0.0002887501,0.0004407795,0.0001459259,0.0001193595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00053328,"about_ca_system_score_gemma":0.0004294039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03476514,"about_ca_topic_score_gemma":0.04253015,"domain_scores_codex":[0.9999255,0.00001599537,0.000008328227,0.00002435614,0.000009199132,0.00001661762],"domain_scores_gemma":[0.9998609,0.00002507093,0.00003668865,0.00001341612,0.00003549792,0.00002840616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000795676,0.00002537067,0.9877544,0.00002479904,0.0001113306,0.0001505964,0.0002671432,0.0007721873,0.004989483,0.00005976161,0.0001664047,0.005598958],"study_design_scores_gemma":[0.000001514928,0.000005600808,0.9985707,0.00000478582,0.00001143457,0.0000141575,0.0001859224,0.0008853305,0.0001539967,0.00001370186,0.0001508132,0.000002090742],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991933,0.0001146223,0.00006252164,0.0000231459,0.000004033308,0.000001545051,0.0002733522,0.00000547574,0.0003219961],"genre_scores_gemma":[0.9994276,0.00004746784,0.00004357144,0.000007419867,0.000002391001,0.000002745477,0.0003473636,0.000001728587,0.0001199013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03476514,"threshold_uncertainty_score":0.06912553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420863332510472,"score_gpt":0.2051681866464669,"score_spread":0.1909595533213622,"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."}}