{"id":"W3176041963","doi":"10.1038/s41597-021-00939-2","title":"GlobSnow v3.0 Northern Hemisphere snow water equivalent dataset","year":2021,"lang":"en","type":"article","venue":"Scientific Data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Academy of Finland; European Space Agency","keywords":"Snow; Water equivalent; Northern Hemisphere; Environmental science; Snowpack; Radiometer; Climatology; Defense Meteorological Satellite Program; Satellite; Meteorology; Remote sensing; Geography; Geology","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":[0.0003953113,0.0006467359,0.0005153531,0.001340634,0.0002292873,0.0004498108,0.0008537934,0.0003370816,0.008983131],"category_scores_gemma":[0.0008448694,0.0001810027,0.000450112,0.003160739,0.00009259598,0.0004661562,0.0005943006,0.0004354444,0.006826117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005128722,"about_ca_system_score_gemma":0.00109498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04237707,"about_ca_topic_score_gemma":0.04575931,"domain_scores_codex":[0.9998148,0.00002601837,0.00002857595,0.00005083231,0.00004573026,0.00003403989],"domain_scores_gemma":[0.9996804,0.00003264179,0.00005298998,0.00006115452,0.0001438809,0.00002893414],"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":[0.0001691912,0.00006803917,0.02315357,0.0006857788,0.0001811109,0.0002338342,0.0001605559,0.004032551,0.00166878,0.001880845,0.9454219,0.02234387],"study_design_scores_gemma":[0.000246266,0.00002381232,0.06184966,0.0001486146,0.00007897784,0.0001161777,0.0001651875,0.005010741,0.00117164,0.001608042,0.9295408,0.00004002047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004247507,0.0000805725,0.0004960987,0.0000566399,0.00002367454,0.0000385092,0.9934587,0.0003224803,0.001275791],"genre_scores_gemma":[0.004099139,0.00005711387,0.001153925,0.00002976257,0.00001202432,0.0001351337,0.9939639,0.00005219475,0.0004967892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04237707,"threshold_uncertainty_score":0.08426076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07065568232724688,"score_gpt":0.2633220157493701,"score_spread":0.1926663334221232,"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."}}