{"id":"W3122827754","doi":"","title":"Synthesizing the scientific evidence to inform the development of the post-2020 Global Framework on Biodiversity:Earth Commission Meeting Report to the Convention on Biological Diversity. Subsidiary Body on Scientific, Technical and Technological Advice, Convention on Biological Diversity, 24th meeting Montreal, Canada 17-22 August 2020","year":2020,"lang":"en","type":"book","venue":"Digital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Porticus Foundation; Strong","keywords":"Convention on Biological Diversity; Biodiversity; Commission; Convention; Diversity (politics); Political science; Environmental planning; Environmental resource management; Engineering ethics; Business; Geography; Law; Ecology; Environmental science; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0537579,0.0008709946,0.0007919309,0.007408286,0.00143197,0.01429965,0.002327265,0.004017474,0.009603401],"category_scores_gemma":[0.0508651,0.0005520234,0.0004631615,0.007627712,0.007875425,0.01448425,0.005119696,0.004028776,0.002469961],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008073524,"about_ca_system_score_gemma":0.03523298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570475,"about_ca_topic_score_gemma":0.0467241,"domain_scores_codex":[0.9886017,0.006379751,0.0007012946,0.0003222199,0.00363943,0.000355493],"domain_scores_gemma":[0.9393028,0.04953407,0.001421166,0.001536546,0.007370731,0.0008346149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003621708,0.00002872325,0.0008234099,0.003451135,0.00007528008,0.0001382723,0.004670486,0.0007293797,0.0003356543,0.4211176,0.3721698,0.1964242],"study_design_scores_gemma":[0.00001136245,0.00001508825,0.001249796,0.01205083,0.00005182857,0.00006151227,0.005141553,0.0003470447,0.0005131298,0.1795728,0.8009565,0.00002852044],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.003628329,0.3670765,0.01920703,0.342174,0.01385072,0.0001889536,0.003576745,0.0002702852,0.2500275],"genre_scores_gemma":[0.1921846,0.5099528,0.1284128,0.08021487,0.006383906,0.001071021,0.009476017,0.0006006397,0.07170333],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9842952,"threshold_uncertainty_score":0.2843023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565095616287497,"score_gpt":0.2260394038399095,"score_spread":0.1903884476770345,"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."}}