{"id":"W3084718445","doi":"10.1111/gcb.15288","title":"Spatial structure in protected forest‐grassland mosaics: Exploring futures under climate change","year":2020,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; James S. McDonnell Foundation","keywords":"Climate change; Disturbance (geology); Land cover; Grassland; Environmental science; Range (aeronautics); Ecology; Geography; Agroforestry; Land use; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003959281,0.0001708011,0.0002621683,0.0005375238,0.0005138727,0.001051184,0.0006404754,0.0006405242,0.001667397],"category_scores_gemma":[0.001814408,0.0002348974,0.0005807705,0.0006256615,0.0007550138,0.0009725156,0.000766222,0.0003232272,0.000089676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020974,"about_ca_system_score_gemma":0.0007507485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05448014,"about_ca_topic_score_gemma":0.06808925,"domain_scores_codex":[0.9998472,0.00005854061,0.0000057433,0.00003801395,0.000009871881,0.00004062045],"domain_scores_gemma":[0.9995269,0.0001505586,0.000111511,0.00004539039,0.00004809815,0.0001175044],"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":[0.0002367874,0.0001419639,0.2251589,0.00005175329,0.0001219053,0.0005244908,0.0008264235,0.7453868,0.0027365,0.0179467,0.000855091,0.006012646],"study_design_scores_gemma":[0.00006242703,0.00007167069,0.06058175,0.00002400626,0.00003760635,0.0001184461,0.0008977203,0.9259306,0.0002671492,0.01060533,0.001372128,0.0000311578],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955903,0.0000926123,0.002155978,0.0002851476,0.000004628527,0.00000958818,0.0002674781,0.00002208458,0.00157224],"genre_scores_gemma":[0.9992066,0.00003622566,0.0005128029,0.000008266914,0.000001134577,0.000004427856,0.00006990942,0.000003552796,0.0001570477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05448014,"threshold_uncertainty_score":0.1083261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07060142589965177,"score_gpt":0.252672465306626,"score_spread":0.1820710394069742,"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."}}