{"id":"W3027315263","doi":"10.1016/j.oneear.2020.04.013","title":"To Achieve Big Wins for Terrestrial Conservation, Prioritize Protection of Ecoregions Closest to Meeting Targets","year":2020,"lang":"en","type":"article","venue":"One Earth","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"Australian Research Council; University of Queensland; Centre of Excellence for Environmental Decisions, Australian Research Council","keywords":"Ecoregion; Futures contract; Habitat; Environmental resource management; Terrestrial ecosystem; Geography; Plan (archaeology); Ecosystem; Environmental protection; Agroforestry; Environmental science; Business; Ecology; Biology","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":[0.003869356,0.0004994607,0.0003149801,0.001122621,0.001488278,0.005211157,0.001086611,0.001093499,0.0140405],"category_scores_gemma":[0.008567638,0.0001918448,0.0003499406,0.001312679,0.001131126,0.00456921,0.005437627,0.001794124,0.003071451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00223782,"about_ca_system_score_gemma":0.009504437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009542579,"about_ca_topic_score_gemma":0.03262563,"domain_scores_codex":[0.9974144,0.001019422,0.00007775192,0.0002069181,0.0006689489,0.0006125845],"domain_scores_gemma":[0.9957944,0.000766215,0.0006606011,0.0004183001,0.0009831821,0.001377354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002191991,0.0005236609,0.07475778,0.0009649848,0.00020819,0.000330333,0.002822419,0.02770713,0.008044996,0.2451981,0.1461924,0.4930309],"study_design_scores_gemma":[0.00006752368,0.0005513401,0.1119176,0.001044196,0.0001189805,0.0008590939,0.01526874,0.02711883,0.006777316,0.310169,0.5259362,0.000171138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2165878,0.00408248,0.2152708,0.07493924,0.001015199,0.0005392146,0.001827813,0.001243826,0.4844936],"genre_scores_gemma":[0.8619253,0.001610344,0.1104735,0.00684759,0.0001267256,0.0004255629,0.001052524,0.000259713,0.01727886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0140405,"threshold_uncertainty_score":0.04697013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425868758775955,"score_gpt":0.2184449497361453,"score_spread":0.1641862621483858,"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."}}