{"id":"W3028009944","doi":"10.1038/s41586-020-2258-0","title":"Patterns and trends of Northern Hemisphere snow mass from 1980 to 2018","year":2020,"lang":"en","type":"article","venue":"Nature","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":513,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"NordForsk","keywords":"Snow; Northern Hemisphere; Physical geography; Geography; Environmental science; Climatology; Geology; 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":[0.0001741713,0.0002058613,0.0001277537,0.00164116,0.0002515799,0.0004264007,0.0002319917,0.0002373294,0.002189361],"category_scores_gemma":[0.0007068854,0.0001030728,0.0002602115,0.001684643,0.000181254,0.0004684229,0.0004099708,0.0002002188,0.0005727278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903073,"about_ca_system_score_gemma":0.000473559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06127677,"about_ca_topic_score_gemma":0.1625651,"domain_scores_codex":[0.9998993,0.000007017769,0.00001266734,0.00002790774,0.00001714508,0.00003598048],"domain_scores_gemma":[0.9993775,0.00005898176,0.0003004279,0.00002126412,0.0001533468,0.00008847898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001995317,0.0000149392,0.9877989,0.00006078476,0.00005133628,0.0001012786,0.0005752952,0.0002025409,0.000687861,0.0002005059,0.003570077,0.006536799],"study_design_scores_gemma":[0.000001772206,0.000006130212,0.9968179,0.00001368178,0.000008462976,0.00003660065,0.0001813628,0.00008985432,0.00005748324,0.00002061679,0.002764664,0.000001390099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823183,0.0008876422,0.00007028383,0.0002942221,0.00002907307,0.000004282866,0.01319943,0.00002765402,0.003169187],"genre_scores_gemma":[0.9852499,0.0006042435,0.0001145914,0.00005240487,0.0000439902,0.00001360787,0.01128822,0.00000940447,0.002623494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06127677,"threshold_uncertainty_score":0.1218402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264267518554447,"score_gpt":0.2103619592482087,"score_spread":0.1977192840626642,"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."}}