{"id":"W2070219271","doi":"10.1029/2006gl027258","title":"Spatial variability and trends in observed snow depth over North America","year":2006,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":206,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; University of Georgia; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Snow; Snow line; Spring (device); Physical geography; Snow cover; Climatology; Geology; Spatial variability; Environmental science; Geography; Geomorphology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002605474,0.0001098935,0.0001757857,0.00006324211,0.0002098555,0.00006730294,0.0001549474,0.00002877202,0.0005798697],"category_scores_gemma":[0.000142001,0.00009095677,0.00004855558,0.0009457197,0.0003341438,0.0001270702,0.00004667458,0.0003069329,0.00005417368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001522525,"about_ca_system_score_gemma":0.00001713538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1464338,"about_ca_topic_score_gemma":0.0904083,"domain_scores_codex":[0.9982442,0.0002017406,0.0001726265,0.0003542672,0.0004802744,0.0005469191],"domain_scores_gemma":[0.998853,0.0007889805,0.00002505998,0.0001955973,0.00003595439,0.0001013964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003382539,0.0000444717,0.8847121,0.00000489351,0.000005748263,0.00001462936,0.00006969726,0.0005504306,0.00006167401,0.00002717447,0.003923266,0.1105521],"study_design_scores_gemma":[0.000239192,0.00006660975,0.9849064,0.000003911924,0.000002587981,2.022842e-7,0.00002997036,0.007649054,0.000002496697,0.0003137014,0.006681841,0.0001039909],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953129,0.00003555638,0.0001027516,0.003129092,0.00006181038,0.0001028495,0.00004386015,0.00001808492,0.001193139],"genre_scores_gemma":[0.9986933,0.00001547251,0.0002589428,0.0004613856,0.0002692708,0.000005378542,0.0001568224,0.000003176712,0.0001361811],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1104481,"threshold_uncertainty_score":0.9261894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436347529009284,"score_gpt":0.2763822608982016,"score_spread":0.2320187856081088,"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."}}