{"id":"W2754831193","doi":"10.1007/s10980-017-0566-z","title":"A methodology for relating wetland configuration to human disturbance in Alberta","year":2017,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Wetland; Landscape ecology; Land reclamation; Disturbance (geology); Environmental science; Boreal; Land use; Environmental resource management; Grassland; Ecology; Habitat; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002201341,0.000354555,0.0002891465,0.003954988,0.001605547,0.001450867,0.0008801684,0.0002962103,0.002118801],"category_scores_gemma":[0.004635972,0.0002723537,0.0003779352,0.005482708,0.0008119046,0.0003227268,0.0009534795,0.0003882084,0.0001715403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00539491,"about_ca_system_score_gemma":0.009167829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7284597,"about_ca_topic_score_gemma":0.849152,"domain_scores_codex":[0.9991513,0.0002712721,0.00008331192,0.0001863919,0.0002171437,0.00009062349],"domain_scores_gemma":[0.9984958,0.0005109077,0.0002293794,0.0001464407,0.0005431421,0.00007438561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001732778,0.0001476327,0.5087939,0.0002121744,0.0002825898,0.0003895022,0.004251634,0.06149364,0.00561251,0.02840983,0.004478853,0.3857544],"study_design_scores_gemma":[0.00004638108,0.0001409987,0.7508833,0.000208937,0.00023023,0.0004840501,0.009255874,0.1776308,0.006964105,0.0223678,0.03166771,0.0001199247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4661784,0.0008549282,0.5037852,0.0003187055,0.00005826952,0.0009632661,0.003800803,0.0006687068,0.02337177],"genre_scores_gemma":[0.591993,0.0003595364,0.3974416,0.00005161248,0.00001244932,0.0006522784,0.001570689,0.00007019484,0.00784854],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2715403,"threshold_uncertainty_score":0.546279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03419873391359987,"score_gpt":0.2982892448416682,"score_spread":0.2640905109280683,"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."}}