{"id":"W3208969474","doi":"10.1111/gcb.15961","title":"Setting priorities for climate change adaptation of Critical Sites in the Africa‐Eurasian waterbird flyways","year":2021,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Swiss Institute of Bioinformatics","keywords":"Threatened species; Climate change; Geography; Wetland; Biodiversity; Habitat; Ecosystem; Ecology; Adaptation (eye); Waterfowl; Environmental resource management; Environmental science; 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":[0.001071804,0.0002084643,0.0001695147,0.0009895519,0.001111361,0.0009098502,0.0004350716,0.0002839938,0.002164108],"category_scores_gemma":[0.002693918,0.0001124717,0.0001517111,0.0007499048,0.0004005842,0.0009858734,0.001131549,0.0003651779,0.0001201758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00110863,"about_ca_system_score_gemma":0.001236938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02633113,"about_ca_topic_score_gemma":0.124695,"domain_scores_codex":[0.9994895,0.0002128585,0.00002027034,0.00005720436,0.0000471139,0.0001730227],"domain_scores_gemma":[0.9985383,0.0001904422,0.000471495,0.00004896737,0.0002487807,0.000502022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001199046,0.00007909334,0.9312013,0.0001265385,0.0000679296,0.0003377649,0.003366735,0.002686786,0.005049487,0.001558212,0.001507071,0.05389917],"study_design_scores_gemma":[0.000008380177,0.0000860404,0.9797371,0.0000876226,0.00002452893,0.0001569047,0.008983025,0.004067142,0.0007188836,0.001682185,0.004428244,0.00001986434],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953135,0.0001483467,0.001483172,0.0003023903,0.00001068482,0.00003823481,0.0001183277,0.0000126693,0.002572527],"genre_scores_gemma":[0.9983708,0.00005555286,0.00134776,0.00002366966,0.000002074243,0.00001103802,0.00006135364,0.000002602676,0.0001251503],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02633113,"threshold_uncertainty_score":0.05235571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276891592507041,"score_gpt":0.3291023767187157,"score_spread":0.2014132174680117,"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."}}