{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005400415,0.0001740982,0.000213286,0.00001636489,0.00007576353,0.00001804862,0.0002256173,0.0001614417,0.0004183615],"category_scores_gemma":[0.000006924575,0.0001289832,0.00003409966,0.0002485148,0.0000201704,0.0002013983,0.0002687301,0.0001002384,0.0001402793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008953962,"about_ca_system_score_gemma":0.00000286731,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009259877,"about_ca_topic_score_gemma":0.06214413,"domain_scores_codex":[0.9988461,0.00006879454,0.0001682132,0.0003707031,0.00009362572,0.0004525693],"domain_scores_gemma":[0.9996759,0.00000791413,0.00006878588,0.0001270277,0.000004404612,0.0001159781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000687309,0.00001160598,0.9934133,0.00003826597,0.000006932024,0.00001196216,0.0006267884,0.00001304109,0.0001589855,0.0001034304,0.00003305494,0.005513876],"study_design_scores_gemma":[0.0005499016,0.000209481,0.9933145,0.00002315779,0.000008672886,0.000006955991,0.0001976365,0.001415364,0.00004457867,0.000901373,0.003098781,0.0002295716],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971508,0.0002175664,0.00002739824,0.001254941,0.0003432434,0.0005066919,0.0002361149,0.00006660548,0.0001965741],"genre_scores_gemma":[0.9973926,0.0001477927,0.00006447006,0.001258476,0.0008550304,0.000185328,0.00008728477,0.000008754732,2.479843e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05288426,"threshold_uncertainty_score":0.9973375,"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."}}