{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000862897,0.0003240432,0.001033222,0.00005000721,0.0002032759,0.00001835695,0.0003926811,0.0002992998,0.0007328312],"category_scores_gemma":[0.000001955457,0.0001816616,0.0001342712,0.00007990535,0.0001934729,0.0001004643,0.0004371159,0.0004014948,0.0004228976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002003481,"about_ca_system_score_gemma":0.000005248296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004061411,"about_ca_topic_score_gemma":0.0003891551,"domain_scores_codex":[0.9982416,0.0004189197,0.0004185341,0.0003854218,0.0001340507,0.0004014677],"domain_scores_gemma":[0.9992328,0.00006821788,0.0002597308,0.0003553206,3.379213e-7,0.00008363707],"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":[0.00007191172,0.0002187291,0.1016651,0.003488651,0.0004589744,0.00003775548,0.001785417,0.0003352539,1.030207e-8,0.0007099091,0.002195805,0.8890325],"study_design_scores_gemma":[0.0005526213,0.00001674913,0.00302082,0.0001938642,0.0004128304,0.00002437218,0.0001904535,0.0003409015,3.496273e-8,0.001869273,0.9931115,0.0002665802],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006767267,0.9952152,0.0000465303,0.0001991034,0.001442712,0.0006901582,0.00001086974,0.00001374954,0.001704923],"genre_scores_gemma":[0.001508281,0.997267,0.000566091,0.0001257999,0.0001858107,0.0001537159,0.00003374075,0.00002276769,0.0001367709],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9909157,"threshold_uncertainty_score":0.8023989,"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."}}