{"id":"W3082929236","doi":"10.1111/conl.12764","title":"Three Key considerations for biodiversity conservation in multilateral agreements","year":2020,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"University of Oxford","keywords":"Biodiversity; Biodiversity conservation; Key (lock); Environmental resource management; Nature Conservation; Geography; Business; Environmental planning; Environmental science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002193193,0.0001593406,0.0001426799,0.00004722541,0.0002225161,0.00005416078,0.0001331604,0.00004999161,0.001445291],"category_scores_gemma":[0.0001779252,0.0001827535,0.00005808854,0.0002060331,0.0001409401,0.0004667831,0.0001289473,0.0001041851,0.0004322903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001723856,"about_ca_system_score_gemma":0.000009032846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00103507,"about_ca_topic_score_gemma":0.002518791,"domain_scores_codex":[0.9987669,0.00005490516,0.0003346776,0.0003898069,0.0002256461,0.0002280598],"domain_scores_gemma":[0.9994487,0.0001532047,0.0001277671,0.0001600747,0.00001071286,0.0000994968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005645358,0.00005131304,0.6543797,0.0000168635,0.00001503987,0.000006419401,0.0007755226,0.001548735,0.02682407,0.0003500496,0.3157976,0.0001781916],"study_design_scores_gemma":[0.002595756,0.00006956224,0.8703102,0.00001163242,0.00002687355,0.000001052673,0.0001562161,0.03098082,0.001295296,0.0006895027,0.09349661,0.0003664818],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7166027,0.000003120339,0.03177197,0.2503533,0.00009046746,0.0008643277,0.00002960044,0.00006068213,0.0002238028],"genre_scores_gemma":[0.6516573,0.000004021764,0.01248219,0.3355594,0.00002339989,0.00009705119,0.0001193193,0.00001052743,0.00004676689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.222301,"threshold_uncertainty_score":0.9994676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05136875999640247,"score_gpt":0.2214092775093612,"score_spread":0.1700405175129587,"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."}}