{"id":"W4320715700","doi":"10.1002/inc3.16","title":"The Post‐2020 Global Biodiversity Framework: How did we get here, and where do we go next?","year":2023,"lang":"en","type":"article","venue":"Integrative Conservation","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biodiversity; Suite; Environmental resource management; Environmental planning; Benchmark (surveying); Business; Geography; Environmental science; Ecology; Cartography; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001610367,0.0001413127,0.0001027066,0.0000107212,0.0004338925,0.0002686101,0.0001839522,0.00009739697,0.003475083],"category_scores_gemma":[0.0002470933,0.00009613766,0.00004901229,0.0005276635,0.0003962819,0.0003372532,0.0002012412,0.0001468928,0.00181853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003610151,"about_ca_system_score_gemma":0.00001247936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102037,"about_ca_topic_score_gemma":0.00354986,"domain_scores_codex":[0.9990998,0.00008735027,0.0001053587,0.0002561692,0.0002310572,0.00022028],"domain_scores_gemma":[0.9994341,0.0001959026,0.0000825732,0.0001587033,0.00005357719,0.0000751011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006811175,0.00002943084,0.5576829,0.000009788752,0.00002569313,0.00001115113,0.001330194,0.000001035738,0.0008810884,0.007594313,0.4116531,0.02071311],"study_design_scores_gemma":[0.0001887613,0.00006939488,0.5499856,0.00003915581,0.00001155866,0.00000409385,0.03285586,0.0001868809,0.0001592989,0.003354703,0.4129872,0.0001574615],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8185143,0.0007777728,0.0001670509,0.1769449,0.0002384169,0.0002236627,0.0005581855,0.0001078605,0.002467783],"genre_scores_gemma":[0.9831233,0.01300826,0.0001059721,0.001924114,0.00004173089,0.00003753895,0.0002423666,0.000006996414,0.001509705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1750208,"threshold_uncertainty_score":0.9989586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03436610586248912,"score_gpt":0.2614224591192628,"score_spread":0.2270563532567736,"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."}}