{"id":"W2103799019","doi":"10.1890/110082","title":"Future landscapes: managing within complexity","year":2012,"lang":"en","type":"review","venue":"Frontiers in Ecology and the Environment","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fisheries and Oceans Canada; Parks Canada","keywords":"Mosaic; Computer science; Environmental resource management; Scale (ratio); Ecological systems theory; Landscape ecology; Temporal scales; Complexity management; Landscape epidemiology; Complexity science; Conceptual framework; Ecology; Data science; Management science; Geography; Landscape assessment; Environmental science; Sociology; Landscape design; Business; Engineering; Cartography; 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":[0.0007935181,0.0009362288,0.0009203592,0.001624293,0.0005833232,0.002883935,0.00105448,0.002131966,0.003191969],"category_scores_gemma":[0.001333226,0.0002153318,0.0004077666,0.002034953,0.001826654,0.005534285,0.001487262,0.002340704,0.0008936959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001631216,"about_ca_system_score_gemma":0.002411292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002681585,"about_ca_topic_score_gemma":0.004814822,"domain_scores_codex":[0.9996709,0.00009055887,0.00002365744,0.00004487395,0.0001338594,0.00003619228],"domain_scores_gemma":[0.9994611,0.0002845565,0.00006760705,0.00002956131,0.0001002977,0.00005691434],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001656366,0.00004784947,0.0001955198,0.01146497,0.00008358589,0.0001146869,0.0005531209,0.00110209,0.000734004,0.1001647,0.05344877,0.832074],"study_design_scores_gemma":[0.000005059681,0.0000199324,0.0004666832,0.004695581,0.0000274834,0.0002750439,0.0003847163,0.0001517645,0.0001219256,0.03292602,0.9609123,0.00001351507],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002751097,0.9897522,0.001058882,0.003459732,0.0003634887,0.000009785695,0.00001319738,0.00001653756,0.005051043],"genre_scores_gemma":[0.004127121,0.9917611,0.001112228,0.001097355,0.0003928829,0.00001830973,0.00002622477,0.000005369181,0.001459441],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003191969,"threshold_uncertainty_score":0.01183534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0144996768435851,"score_gpt":0.2161186149735872,"score_spread":0.2016189381300021,"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."}}