{"id":"W3201855919","doi":"10.3389/fevo.2021.679673","title":"Assessing Pathways of Climate Change Effects in SpaDES: An Application to Boreal Landbirds of Northwest Territories Canada","year":2021,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University; Environment and Climate Change Canada; University of Alberta; Natural Resources Canada; Université Laval; University of Victoria; Canadian Forest Service; University of British Columbia","funders":"Canadian Forest Service; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Ministry of Environment; Environment and Climate Change Canada; Mitacs; Ministry of Environment - Saskatchewan; fRI Research","keywords":"Climate change; Taiga; Ecology; Boreal; Vegetation (pathology); Occupancy; Biomass (ecology); Environmental science; Physical geography; Climate model; Geography; Habitat; Biology","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":[0.0009934391,0.0007470339,0.0004751323,0.0006442121,0.001282524,0.0008934278,0.001126715,0.0005846848,0.001775389],"category_scores_gemma":[0.002162464,0.0003928598,0.0009809424,0.0006627356,0.0005593979,0.0003563362,0.0006475816,0.0006618397,0.0000964683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008053371,"about_ca_system_score_gemma":0.006769302,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.929808,"about_ca_topic_score_gemma":0.9226241,"domain_scores_codex":[0.9997481,0.00008662012,0.0000127401,0.00006983053,0.00003495303,0.00004778374],"domain_scores_gemma":[0.9989925,0.0005713654,0.00006057687,0.00004662795,0.000207123,0.000121779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003413726,0.0002507251,0.1680705,0.0001446705,0.0003921467,0.0002328394,0.0003835162,0.8128566,0.002208401,0.001113697,0.00176891,0.01223653],"study_design_scores_gemma":[0.0001165308,0.0001012231,0.0563479,0.00001967988,0.00008721236,0.0000381797,0.0004072084,0.9396701,0.0007887533,0.0004952371,0.00188521,0.00004270129],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902463,0.0001973954,0.004451777,0.0001828533,0.00001775076,0.00009512321,0.002548251,0.0005891424,0.001671469],"genre_scores_gemma":[0.9854054,0.0001541826,0.01175504,0.00006229102,0.000006600279,0.00007458046,0.001696036,0.0000700622,0.0007758389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07019198,"threshold_uncertainty_score":0.1412107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004475415819354373,"score_gpt":0.2049357228821766,"score_spread":0.2004603070628222,"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."}}