{"id":"W2336959538","doi":"10.1175/jcli-d-15-0559.1","title":"Atmospheric Moisture Transport to the Arctic: Assessment of Reanalyses and Analysis of Transport Components","year":2016,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Environmental science; Precipitable water; Radiosonde; Climatology; Extratropical cyclone; Moisture; Precipitation; Arctic; Middle latitudes; Atmospheric sciences; Advection; Storm track; Storm; Meteorology; Geology; Geography; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"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":[0.002796468,0.001069293,0.0005145177,0.002376963,0.0004105355,0.001245064,0.0004017527,0.000257444,0.0006803446],"category_scores_gemma":[0.002521681,0.0003214914,0.002020466,0.002281082,0.0001629968,0.0006982271,0.0004929625,0.0003468393,0.0002928472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005699492,"about_ca_system_score_gemma":0.0009593497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04409308,"about_ca_topic_score_gemma":0.02790757,"domain_scores_codex":[0.9995779,0.0001427982,0.00004591627,0.00009098204,0.0001068076,0.00003559254],"domain_scores_gemma":[0.9988762,0.0002759053,0.0001465386,0.0001460799,0.0005014855,0.00005378422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006948811,0.0002170176,0.7926047,0.0003072495,0.00349663,0.0003039276,0.0003372402,0.1119932,0.009605454,0.0009410316,0.002289295,0.07720937],"study_design_scores_gemma":[0.00004525595,0.0001712095,0.6953281,0.00009053076,0.0008679983,0.00009673321,0.0003863476,0.2953157,0.003566097,0.0004198018,0.003614689,0.00009761694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986529,0.0008795271,0.005943683,0.00008929458,0.00005985397,0.00004835345,0.00466382,0.0006185606,0.001167924],"genre_scores_gemma":[0.9796059,0.0007790515,0.009944906,0.00001791768,0.00004883912,0.00004268501,0.00856691,0.0001348561,0.0008590301],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04409308,"threshold_uncertainty_score":0.08767283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248524448620588,"score_gpt":0.2538023215494724,"score_spread":0.2413170770632665,"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."}}