{"id":"W2751220450","doi":"10.1111/cobi.13008","title":"Equity trade‐offs in conservation decision making","year":2017,"lang":"en","type":"article","venue":"Conservation Biology","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":119,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Australian Research Council; Social Sciences and Humanities Research Council of Canada; Liber Ero Foundation; Fulbright Canada","keywords":"Equity (law); Conceptualization; Public economics; Equity theory; Deliberation; Business; Economics; Political science; Computer science; Microeconomics","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":[0.05461653,0.001008119,0.001352556,0.003029426,0.004612019,0.01629532,0.001995751,0.005059086,0.007452498],"category_scores_gemma":[0.06678619,0.0007907569,0.001471997,0.002313914,0.02944301,0.01638433,0.01108977,0.006448579,0.0005806567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01098851,"about_ca_system_score_gemma":0.008832736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003160725,"about_ca_topic_score_gemma":0.004784917,"domain_scores_codex":[0.9499055,0.03476624,0.002122034,0.002869775,0.007420435,0.00291597],"domain_scores_gemma":[0.9504721,0.03810292,0.003363366,0.002316364,0.003500748,0.002244543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004141344,0.00004250136,0.001552699,0.0001557163,0.00008350298,0.00009655693,0.001542753,0.01309728,0.0001660877,0.9602598,0.001066638,0.02189515],"study_design_scores_gemma":[0.000006700817,0.00001862645,0.0003819001,0.0001641514,0.0000160105,0.00002669699,0.0005213702,0.003545459,0.0001045968,0.9910287,0.004169293,0.00001639442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08837464,0.01153391,0.4690363,0.07733842,0.00106876,0.0006425162,0.0001777381,0.0001103152,0.3517174],"genre_scores_gemma":[0.9366159,0.002046501,0.05436455,0.002516259,0.0003093405,0.00035269,0.00004306146,0.00005660883,0.003695106],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05461653,"threshold_uncertainty_score":0.2888433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05705919700277656,"score_gpt":0.3104301120884118,"score_spread":0.2533709150856353,"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."}}