{"id":"W1972066109","doi":"10.1007/s10457-011-9466-4","title":"Effects of shelterbelts on snow distribution and sublimation","year":2011,"lang":"en","type":"article","venue":"Agroforestry Systems","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan; Agriculture and Agri-Food Canada","funders":"","keywords":"Snow; Windbreak; Environmental science; Hydrology (agriculture); Sublimation (psychology); Physical geography; Precipitation; Snow removal; Atmospheric sciences; Geography; Agroforestry; Meteorology; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008708407,0.00007096967,0.0001131413,0.00001146393,0.00008637849,0.0000140597,0.00005322663,0.00004027085,0.00003765965],"category_scores_gemma":[0.00005020641,0.00005343942,0.00002069202,0.0001098914,0.00004041331,0.0000950803,0.000005667661,0.00003739322,0.00002209584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000278694,"about_ca_system_score_gemma":0.000006693042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482148,"about_ca_topic_score_gemma":0.0002102286,"domain_scores_codex":[0.9994759,0.00002884738,0.0001500744,0.0001120132,0.0001133126,0.0001198714],"domain_scores_gemma":[0.9996181,0.0001440646,0.00008190531,0.00008442873,0.00002871378,0.0000427917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003208201,0.00002336651,0.9894355,0.0001928938,0.00002350008,0.000004359175,0.0003959463,0.00009432619,0.00001771962,0.002058179,0.0007636144,0.006958529],"study_design_scores_gemma":[0.0001485276,0.0001555511,0.9963364,0.00007356316,0.0000118924,0.000002906269,0.0001916054,0.002306812,0.0001637091,0.0001085178,0.0004401752,0.00006032637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970449,0.0005800254,0.0003687611,0.00001580538,0.0004183158,0.0001941479,0.00004549875,0.00001927109,0.001313239],"genre_scores_gemma":[0.9996421,0.00007758103,0.00004114469,0.00001255891,0.00005389704,0.000002870966,0.0001031185,0.000001419724,0.00006532584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006900929,"threshold_uncertainty_score":0.526399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833291079697127,"score_gpt":0.1890313165053352,"score_spread":0.1706984057083639,"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."}}