{"id":"W2141097221","doi":"10.1111/j.1442-9993.2009.02044.x","title":"Projecting climate change impacts on species distributions in megadiverse South African Cape and Southwest Australian Floristic Regions: Opportunities and challenges","year":2009,"lang":"en","type":"article","venue":"Austral Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Biodiversity; Climate change; Geography; Species distribution; Ecology; Global biodiversity; Ecosystem; Mediterranean climate; Global warming; Vulnerability (computing); Floristics; Environmental science; Habitat; Species richness; 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":[0.001509551,0.0005727742,0.000453158,0.001749929,0.000438463,0.0009427983,0.0008871497,0.0004042885,0.001415988],"category_scores_gemma":[0.003538631,0.0002374018,0.0008181986,0.002738834,0.0003315478,0.00112108,0.001168897,0.0005283537,0.0001814312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001497146,"about_ca_system_score_gemma":0.00152333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1564417,"about_ca_topic_score_gemma":0.1576478,"domain_scores_codex":[0.9996336,0.0001790253,0.00002357849,0.00005204292,0.00007280836,0.00003899046],"domain_scores_gemma":[0.9991196,0.0003638085,0.0001335912,0.00006756964,0.000243338,0.00007211315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009755238,0.00004963967,0.3368531,0.0041283,0.001622725,0.001480505,0.002781932,0.3201435,0.004949915,0.008164713,0.006419932,0.3133083],"study_design_scores_gemma":[0.00001848993,0.0001492831,0.7181397,0.002135681,0.000532953,0.0006222408,0.004464807,0.2061686,0.001788375,0.01580249,0.05004824,0.0001291622],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8520948,0.06431953,0.04878702,0.008484518,0.0002097691,0.0001269465,0.007586816,0.0002887532,0.01810173],"genre_scores_gemma":[0.9501492,0.02634123,0.02102089,0.0002128689,0.00003695823,0.00008992597,0.001247121,0.00002746021,0.0008744076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1564417,"threshold_uncertainty_score":0.3110623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1783040149625334,"score_gpt":0.2866906186972565,"score_spread":0.1083866037347231,"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."}}