{"id":"W2551170100","doi":"10.1139/cjss-2016-0098","title":"The Saskatchewan Shelterbelt Inventory","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Soil erosion and sediment transport","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; University of Regina","funders":"Agriculture and Agri-Food Canada","keywords":"Windbreak; Baseline (sea); Climate change; Agricultural land; Environmental science; Agriculture; Carbon sequestration; Land use; Land use, land-use change and forestry; Geography; Agroforestry; Forestry; Ecology; Archaeology; Carbon dioxide","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0002336374,0.0004090885,0.0002375542,0.001873299,0.0007057654,0.0007527834,0.0008266694,0.0002307026,0.0192224],"category_scores_gemma":[0.0005476481,0.0004571392,0.0002218109,0.004377334,0.0001837089,0.0005086232,0.0007265693,0.00043729,0.003511836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005899679,"about_ca_system_score_gemma":0.01022823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8568224,"about_ca_topic_score_gemma":0.9586963,"domain_scores_codex":[0.9997869,0.00002433066,0.00002089783,0.00004714549,0.00006632115,0.00005451986],"domain_scores_gemma":[0.9994091,0.00003294698,0.00007840277,0.00005408096,0.0003530597,0.00007252557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003122232,0.0001495275,0.6145898,0.0004462958,0.0004171701,0.0007909673,0.001648557,0.005659949,0.004915065,0.004240509,0.2093528,0.1574771],"study_design_scores_gemma":[0.0000569022,0.00003450391,0.8105132,0.000227205,0.00008481614,0.0001713353,0.002427344,0.002915283,0.001057769,0.0009963037,0.1814494,0.00006599744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4127194,0.0007112421,0.002812572,0.0006613536,0.00005177736,0.0007258811,0.5365143,0.0003045732,0.0454989],"genre_scores_gemma":[0.5315292,0.002708083,0.0117825,0.0007452855,0.00002531508,0.00190949,0.3530299,0.0001466885,0.09812344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1431776,"threshold_uncertainty_score":0.2880416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713505940922891,"score_gpt":0.199051723599776,"score_spread":0.1819166641905471,"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."}}