{"id":"W3182885619","doi":"","title":"Mapping ecosystem services change in Canadian Prairies under combined climate and drainage scenarios","year":2019,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ecosystem services; Climate change; Drainage; Environmental resource management; Ecosystem; Environmental science; Geography; Hydrology (agriculture); Water resource management; Environmental planning; Remote sensing; Ecology; Geology; Oceanography","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":[0.0006558307,0.0002878121,0.0003175391,0.001143702,0.00183477,0.001705822,0.0009533937,0.0007027769,0.001186501],"category_scores_gemma":[0.001617725,0.0002385115,0.000636704,0.003150647,0.0007516376,0.0006245173,0.0006286956,0.0005530381,0.0000902859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02806528,"about_ca_system_score_gemma":0.02041646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925667,"about_ca_topic_score_gemma":0.9973016,"domain_scores_codex":[0.9995153,0.00005288733,0.00001626814,0.00008372361,0.0001308034,0.0002009216],"domain_scores_gemma":[0.9993636,0.00009467776,0.00005854512,0.00003165579,0.000338964,0.0001126744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008956773,0.0002634809,0.8066819,0.0002774023,0.000717109,0.0005390731,0.002702221,0.1249438,0.006988524,0.003464164,0.009099124,0.04342755],"study_design_scores_gemma":[0.00003594489,0.00003115884,0.9396236,0.0000364117,0.00009348433,0.00004795709,0.003894463,0.0506409,0.0004123255,0.0003947825,0.004727279,0.00006174054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933959,0.0001598242,0.0002628457,0.0004261284,0.000009688297,0.0000332,0.002445004,0.00003310563,0.003234375],"genre_scores_gemma":[0.9974294,0.0001707927,0.0008872918,0.00004615522,0.000002783125,0.00001712597,0.0007720185,0.000006857156,0.0006676028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02806528,"threshold_uncertainty_score":0.2036288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056114954323155,"score_gpt":0.3072297834845028,"score_spread":0.2766686339412713,"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."}}