{"id":"W4412761698","doi":"10.5194/essd-17-3619-2025","title":"Northern Hemisphere in situ snow water equivalent dataset (NorSWE, 1979–2021)","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Water equivalent; Northern Hemisphere; Snow; In situ; Climatology; Geology; Environmental science; Meteorology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005700052,0.0007961137,0.0006865171,0.001543526,0.0004736816,0.0007998789,0.001185171,0.0005337086,0.0117738],"category_scores_gemma":[0.001421904,0.0002397202,0.0005873288,0.004025515,0.0001892049,0.0006619274,0.0007159454,0.0005960123,0.009685522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264253,"about_ca_system_score_gemma":0.002473908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2641914,"about_ca_topic_score_gemma":0.3242123,"domain_scores_codex":[0.9996356,0.00003657287,0.00003991777,0.0001095216,0.000117263,0.00006114495],"domain_scores_gemma":[0.9988627,0.00006975618,0.0001140837,0.0001539953,0.0007093443,0.00009014131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001567818,0.00003826525,0.01667376,0.0006414011,0.0001695278,0.00009856291,0.00007533952,0.001317271,0.0009048691,0.0009081262,0.9681402,0.01087587],"study_design_scores_gemma":[0.0002772119,0.00002240466,0.1099685,0.0002618842,0.00007569994,0.00007725477,0.000229851,0.002563491,0.001203854,0.0008053223,0.8844627,0.00005187016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001235627,0.00006177815,0.0001081172,0.0000429959,0.00002062138,0.000009978763,0.9976048,0.0001243463,0.0007915894],"genre_scores_gemma":[0.002364675,0.00004286359,0.0003602945,0.00002141015,0.000008456688,0.00003341793,0.9966988,0.00002251838,0.0004475566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2641914,"threshold_uncertainty_score":0.5253074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03485267307849697,"score_gpt":0.2620379452418805,"score_spread":0.2271852721633835,"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."}}