{"id":"W3200743232","doi":"10.1139/facets-2020-0100","title":"A systematic conservation planning approach to maintaining ecosystem service provision in working landscapes","year":2021,"lang":"en","type":"article","venue":"FACETS","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; McGill University; Université Laval; Université du Québec à Montréal","funders":"","keywords":"Ecosystem services; Provisioning; Sustainability; Business; Environmental resource management; Land use; Service (business); Landscape planning; Environmental planning; Computer science; Risk analysis (engineering); Process management; Ecosystem; Engineering; Ecology; Geography; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000570244,0.0001437619,0.0003008093,0.0000536659,0.0001071446,0.0001118151,0.0001922522,0.00007556618,0.00008035741],"category_scores_gemma":[0.00003745205,0.000118608,0.00003001062,0.0005957166,9.945776e-7,0.0001964415,0.00019723,0.00009232418,0.0004475924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001408585,"about_ca_system_score_gemma":0.00001564758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000258775,"about_ca_topic_score_gemma":0.006078144,"domain_scores_codex":[0.9985108,0.0001565641,0.000382634,0.0003708941,0.0002739583,0.0003051748],"domain_scores_gemma":[0.9994606,0.00007784095,0.0001108194,0.0002459456,0.00001366899,0.00009111864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004872543,0.0002170682,0.6722089,0.0136083,0.00005717931,0.0001261032,0.01999571,0.2893577,0.003602649,0.0001160467,0.0004105885,0.0002509738],"study_design_scores_gemma":[0.001635717,0.00007696034,0.1111948,0.02640583,0.00006487953,0.0001947378,0.01823526,0.8364899,0.001727695,0.0001407865,0.00283554,0.0009979694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9911098,0.0001068158,0.000499412,0.0003209184,0.0001030437,0.0005342003,0.000002834578,0.0000591409,0.007263832],"genre_scores_gemma":[0.998219,0.000001756325,0.0009955796,0.0005832862,0.00003045872,0.0001019668,0.00002467711,0.00001510956,0.00002815067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5610142,"threshold_uncertainty_score":0.5753044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02001006165224277,"score_gpt":0.2287858204369529,"score_spread":0.2087757587847101,"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."}}