{"id":"W4387378793","doi":"10.1016/j.atmosres.2023.107042","title":"Spatiotemporal dipole variations of spring snowmelt over Eurasia","year":2023,"lang":"en","type":"article","venue":"Atmospheric Research","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snowmelt; Spring (device); Snow; Latitude; Environmental science; Climatology; Atmospheric sciences; Meltwater; Physical geography; Geology; Geography; Meteorology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002377749,0.0001087216,0.00014392,0.0003790735,0.0001677679,0.000369671,0.0001549679,0.0001807256,0.0008731189],"category_scores_gemma":[0.0003694774,0.00009302202,0.0001865156,0.0004899391,0.0001647653,0.0002420618,0.0002903344,0.000132444,0.0001231402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704171,"about_ca_system_score_gemma":0.0002843073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285947,"about_ca_topic_score_gemma":0.03475507,"domain_scores_codex":[0.999954,0.000005177952,0.000004955881,0.00001646809,0.000006309881,0.00001299222],"domain_scores_gemma":[0.9997757,0.00003715277,0.00007364462,0.00001656712,0.00005575425,0.00004120795],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005854165,0.00003935678,0.966607,0.0000293883,0.0001571223,0.0003558008,0.0009333979,0.001588465,0.02094468,0.0002722024,0.0006996687,0.007787441],"study_design_scores_gemma":[0.000007093728,0.0000143049,0.9985608,0.000002309557,0.000009606521,0.00003303503,0.0001383877,0.00064577,0.0001889815,0.00002735855,0.0003700516,0.000002147044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991637,0.0000341855,0.00006209144,0.00002998508,0.000003205637,0.000001166214,0.0003266712,0.000004486374,0.000374474],"genre_scores_gemma":[0.9992363,0.00002858582,0.00006243949,0.000007213916,0.000003949011,0.000001790643,0.0003850689,0.000002050422,0.0002724879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02285947,"threshold_uncertainty_score":0.04545283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08626400167541219,"score_gpt":0.3363252480854765,"score_spread":0.2500612464100643,"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."}}