{"id":"W2428157186","doi":"10.1175/jcli-d-15-0687.1","title":"Effects of a Warming Climate on Daily Snowfall Events in the Northern Hemisphere","year":2016,"lang":"en","type":"article","venue":"Journal of Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Climate Program Office; University of East Anglia; U.S. Department of Energy; Office of Science; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Northern Hemisphere; Snow; Climatology; Coupled model intercomparison project; Environmental science; Climate model; Climate change; Latitude; Southern Hemisphere; Atmospheric sciences; Geography; Geology; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001461037,0.0001331936,0.0002671714,0.00003645198,0.00005705372,0.000008072944,0.0004044774,0.00006150403,0.000191837],"category_scores_gemma":[0.0001709165,0.00006708604,0.0001444763,0.0001326805,0.00007697954,0.0002337688,0.0001189713,0.0001624756,0.00009649119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001287349,"about_ca_system_score_gemma":0.00001160478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002941016,"about_ca_topic_score_gemma":0.0001424074,"domain_scores_codex":[0.9983189,0.0001706296,0.0005601521,0.0001463494,0.0004651367,0.0003388446],"domain_scores_gemma":[0.998623,0.0006249017,0.0004472427,0.0002214363,0.00001729776,0.00006615969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001096234,0.001614357,0.7774634,0.0003803535,0.00004868755,0.000149046,0.003316286,0.002773219,0.1813505,0.0005009342,0.0002351639,0.03107186],"study_design_scores_gemma":[0.01236259,0.002751013,0.9108061,0.004467257,0.000269504,0.000302209,0.0009160058,0.0008397248,0.04475928,0.01384013,0.007731795,0.0009543992],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955639,0.00003161336,0.00005850338,0.0006991222,0.0001534731,0.0001586386,0.000007063539,0.000004687103,0.003322989],"genre_scores_gemma":[0.9987775,0.0007885714,0.000134379,0.0002235545,0.00003713839,0.000004197726,2.746177e-7,0.00001203311,0.00002236903],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1365912,"threshold_uncertainty_score":0.2735689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009564896643845962,"score_gpt":0.2404160716420215,"score_spread":0.2308511749981756,"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."}}