{"id":"W4235995785","doi":"10.5194/tc-2019-56","title":"Optimization of over-summer snow storage at mid-latitude and low elevation","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Snowmelt; Environmental science; Elevation (ballistics); Snow field; Latitude; Firn; Atmospheric sciences; Climate change; Wind speed; Snowpack; Water equivalent; Climatology; Hydrology (agriculture); Snow cover; Meteorology; Geology; Geography","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":[0.0002131955,0.0002443945,0.0002290533,0.000250984,0.000621921,0.0005587427,0.0002953821,0.0001516563,0.0008097304],"category_scores_gemma":[0.0002589651,0.0001149282,0.000191062,0.0002482644,0.000186714,0.0002523758,0.0003264722,0.0001763455,0.0002131725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009505869,"about_ca_system_score_gemma":0.0009384875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03167316,"about_ca_topic_score_gemma":0.1451344,"domain_scores_codex":[0.9998864,0.0000117024,0.000005291955,0.00002670714,0.00002498702,0.00004490417],"domain_scores_gemma":[0.9998226,0.00001906994,0.00004305681,0.00001433184,0.00005020073,0.00005086379],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001078995,0.0003245026,0.2368677,0.0001680452,0.00008388204,0.0003848941,0.000637809,0.02435228,0.6873456,0.0001435653,0.0007837539,0.04782893],"study_design_scores_gemma":[0.00005824948,0.001234143,0.8275528,0.00003922331,0.00007972716,0.0001722954,0.001490482,0.03548696,0.12971,0.0001806195,0.003958502,0.00003705346],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986379,0.00003367467,0.0006895691,0.00001159191,0.000002301878,0.00001093797,0.0001294772,0.00002985386,0.0004547627],"genre_scores_gemma":[0.9981043,0.00002778747,0.001334166,0.000007960331,9.229062e-7,0.00001077402,0.0001977044,0.00000929262,0.0003070345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03167316,"threshold_uncertainty_score":0.06297761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02303601736334923,"score_gpt":0.2278387612122126,"score_spread":0.2048027438488633,"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."}}