{"id":"W2592456582","doi":"10.1007/s00382-017-3609-x","title":"Rain-on-snow events over North America based on two Canadian regional climate models","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Snowmelt; Climatology; Environmental science; Climate change; Period (music); Surface runoff; Snow; Precipitation; Climate model; Flood myth; Current (fluid); Physical geography; Meteorology; Geography; Geology; Oceanography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0004552285,0.0009066517,0.0004746377,0.0008282978,0.001258938,0.001044874,0.001413378,0.0005271384,0.001375656],"category_scores_gemma":[0.001105035,0.0004072329,0.001029906,0.001181839,0.0003958315,0.0004264418,0.000415936,0.0005342435,0.0001283661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01694486,"about_ca_system_score_gemma":0.01480125,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9848061,"about_ca_topic_score_gemma":0.9871073,"domain_scores_codex":[0.9997424,0.00003679509,0.00001119367,0.00006291768,0.00006570222,0.00008101366],"domain_scores_gemma":[0.9995013,0.00007318451,0.00003719479,0.00002340869,0.0002765033,0.00008830481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002023737,0.00009269115,0.06199994,0.00007288342,0.000272947,0.0001483901,0.0001554651,0.9254402,0.001239851,0.0008463552,0.002886734,0.006642269],"study_design_scores_gemma":[0.000164399,0.00005449694,0.06988452,0.00002680231,0.0002185878,0.00003323506,0.0002749612,0.9242482,0.0007799924,0.0002459735,0.00397047,0.00009837125],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877635,0.0002892513,0.0009538852,0.0003085873,0.00002803872,0.00004577241,0.00383632,0.0001929854,0.006581718],"genre_scores_gemma":[0.9932269,0.0002790891,0.00175221,0.00005540501,0.000008369596,0.00002639702,0.003374902,0.00003241351,0.001244201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01694486,"threshold_uncertainty_score":0.1229441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02968742134438596,"score_gpt":0.2453316354381557,"score_spread":0.2156442140937697,"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."}}