{"id":"W3162493732","doi":"10.1101/2021.05.20.444939","title":"Mapping the functional connectivity of ecosystem services supply across a regional landscape","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Ecosystem services; Environmental resource management; Sustainability; Landscape planning; Land cover; Land use; Scale (ratio); Ecosystem; Total human ecosystem; Landscape ecology; Landscape assessment; Geography; Computer science; Ecology; Landscape design; Environmental science; Habitat; Cartography; Ecosystem health","routes":{"ca_aff":true,"ca_fund":false,"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":[0.000358777,0.0001500831,0.0001517577,0.002288732,0.0001854132,0.0005812778,0.0002253508,0.00017211,0.001670158],"category_scores_gemma":[0.001581978,0.0001043277,0.0001604757,0.001822102,0.0002730763,0.0005658029,0.0005763842,0.0001534225,0.0001319873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000315717,"about_ca_system_score_gemma":0.0001703287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007964331,"about_ca_topic_score_gemma":0.01009773,"domain_scores_codex":[0.9998298,0.00005726079,0.00000910056,0.00005815775,0.00002883727,0.00001693551],"domain_scores_gemma":[0.9993119,0.0002990256,0.0001843574,0.00007219834,0.00009270751,0.0000397498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001676832,0.0001106215,0.7795408,0.0001687948,0.0003168162,0.0003368115,0.0009979429,0.07410073,0.04340301,0.008778975,0.001144287,0.09093341],"study_design_scores_gemma":[0.00001018796,0.00005002056,0.8546497,0.00002243765,0.00006112071,0.0002405034,0.0008273734,0.1311838,0.003238873,0.007297666,0.002396169,0.00002215255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863772,0.00006948678,0.01031043,0.00006349656,0.000001733189,0.000007710782,0.0008516432,0.00008015213,0.002238162],"genre_scores_gemma":[0.9951273,0.00002403241,0.004408079,0.000004244108,0.00000179375,0.000005787845,0.0002901092,0.000008090252,0.0001306288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007964331,"threshold_uncertainty_score":0.01583594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162650834024883,"score_gpt":0.1986678391887794,"score_spread":0.1824027557862911,"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."}}