{"id":"W4362607953","doi":"10.1175/jhm-d-22-0182.1","title":"Trends in Northern Hemispheric Snow Presence","year":2023,"lang":"en","type":"article","venue":"Journal of Hydrometeorology","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; National Science Foundation","keywords":"Snow; Albedo (alchemy); Northern Hemisphere; Climatology; Environmental science; Arctic; Snow field; Climate change; Scale (ratio); Subarctic climate; Latitude; Snow cover; Satellite; Physical geography; Meteorology; Geography; Geology; 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":[0.0006574446,0.000123989,0.0001520594,0.0007571562,0.0001310644,0.0005436681,0.0001836514,0.00013785,0.001068615],"category_scores_gemma":[0.001287282,0.00008497603,0.0002655701,0.001040154,0.0001746101,0.0003943462,0.0002462007,0.0001440839,0.0001718964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006097741,"about_ca_system_score_gemma":0.0002918744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03734549,"about_ca_topic_score_gemma":0.04477084,"domain_scores_codex":[0.9998211,0.00003663237,0.00001332418,0.00005408185,0.00005123288,0.00002364401],"domain_scores_gemma":[0.9993686,0.0001589932,0.0002516916,0.00004337828,0.0001471299,0.00003021911],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008517064,0.00001344467,0.9519215,0.00006167756,0.0001232869,0.0001048462,0.0002764816,0.028039,0.002239726,0.001970281,0.0009507219,0.01421402],"study_design_scores_gemma":[0.000002611019,0.000021933,0.9391292,0.00002063508,0.00001616574,0.00006106153,0.0002510439,0.05625077,0.000796987,0.000760713,0.002678208,0.00001068551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875567,0.0002607297,0.003845448,0.0002115612,0.000007836939,0.000008317696,0.005457559,0.00005208297,0.002599607],"genre_scores_gemma":[0.9973512,0.00007676204,0.0006304138,0.000007812125,0.000006589846,0.000004346991,0.00162381,0.000003602854,0.0002955417],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03734549,"threshold_uncertainty_score":0.07425624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007842330363733458,"score_gpt":0.2242881295641645,"score_spread":0.2164457992004311,"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."}}