{"id":"W1983197837","doi":"10.1016/j.geoderma.2006.03.032","title":"Advances in landscape-scale soil research","year":2006,"lang":"en","type":"article","venue":"Geoderma","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Pedology; USDA soil taxonomy; Earth system science; Context (archaeology); Soil functions; Earth science; Scale (ratio); Environmental resource management; Linkage (software); Soil survey; Global change; Environmental science; Soil water; Soil classification; Ecology; Soil science; Geography; Geology; Soil organic matter; Climate change; Soil biodiversity; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003219412,0.0004306349,0.0009252857,0.00263522,0.0003657553,0.002661323,0.001284552,0.0007889757,0.007828301],"category_scores_gemma":[0.01045928,0.0003028154,0.0004969001,0.007051718,0.0008811233,0.002617716,0.001385448,0.001077077,0.001544407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007700121,"about_ca_system_score_gemma":0.002134613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005348527,"about_ca_topic_score_gemma":0.01136158,"domain_scores_codex":[0.9989936,0.0003542354,0.00004985608,0.000238169,0.0003052099,0.00005893864],"domain_scores_gemma":[0.9918649,0.004805441,0.0005281995,0.001100576,0.001395754,0.0003052598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007407508,0.00009869065,0.02099508,0.001077089,0.0001348658,0.00005726306,0.0002348755,0.008060048,0.004780747,0.03365456,0.01097502,0.9198578],"study_design_scores_gemma":[0.00006544901,0.0001876419,0.06902662,0.0007763414,0.0003523772,0.0007077809,0.00116269,0.07099522,0.00702704,0.1437673,0.7058219,0.0001098175],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.09906755,0.1990224,0.6238683,0.01994623,0.001661069,0.0001332308,0.002619198,0.002885669,0.05079632],"genre_scores_gemma":[0.4477032,0.173406,0.362197,0.002028992,0.003255727,0.0001359335,0.00199132,0.0004929323,0.008788902],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007828301,"threshold_uncertainty_score":0.02618825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352635610401668,"score_gpt":0.2780299431457161,"score_spread":0.2645035870416994,"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."}}