{"id":"W4290667669","doi":"10.1029/2021wr031674","title":"Long‐Term Simulation of Snow Cover and Its Potential Impacts on Seasonal Frost Dynamics in Croplands Across Southern Canada","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Environmental science; Snow; Frost (temperature); Snow cover; Hydrology (agriculture); Snowmelt; Air temperature; Atmospheric sciences; Global warming; Climate change; Climatology; Meteorology; Ecology; Geology; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002248962,0.0003310968,0.000219188,0.0002759989,0.0008252242,0.0005747941,0.0006439302,0.0002996198,0.0006667868],"category_scores_gemma":[0.0005091951,0.0001829895,0.0004031455,0.0004709153,0.0003902306,0.0002115394,0.0002320229,0.000276469,0.00006487456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008320955,"about_ca_system_score_gemma":0.006182823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9616007,"about_ca_topic_score_gemma":0.9658998,"domain_scores_codex":[0.9999112,0.000008722638,0.000003216962,0.00001985243,0.00001714399,0.0000398863],"domain_scores_gemma":[0.9997552,0.00004897228,0.00002697438,0.00001390987,0.00009852817,0.00005639121],"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":[0.0003930446,0.0001587639,0.3364626,0.00004798576,0.0001230733,0.0002494353,0.0001823996,0.6457216,0.006932329,0.0004865929,0.0007437406,0.0084985],"study_design_scores_gemma":[0.00006670777,0.0001040243,0.3075663,0.00001253205,0.00004563266,0.00002524799,0.0004281311,0.6891688,0.001591142,0.0001206029,0.0008446742,0.00002629099],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992373,0.00001531969,0.0001510905,0.0000156682,0.000001369855,0.000004636815,0.0002530452,0.0000137957,0.0003077811],"genre_scores_gemma":[0.9992433,0.0000208666,0.0002399045,0.000004077516,4.145068e-7,0.000003757501,0.0002956061,0.000002455184,0.0001895809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03839934,"threshold_uncertainty_score":0.0772509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04169234964688238,"score_gpt":0.3007867125905286,"score_spread":0.2590943629436462,"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."}}