{"id":"W7120796701","doi":"","title":"Functional traits as predictors of vulnerability from plants to climate change: a case study in brazilian semi-arid","year":2021,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arid; Vulnerability (computing); Niche; Climate change; Precipitation; Ecosystem; Extinction (optical mineralogy); Range (aeronautics); Species distribution","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":[0.000858768,0.000491293,0.0003398533,0.0008483665,0.0005558933,0.0004906008,0.0004582994,0.0004927896,0.0006272296],"category_scores_gemma":[0.002914522,0.0001747695,0.000815556,0.001087083,0.0004278691,0.0004137756,0.0004296995,0.0003981781,0.00007280531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001063297,"about_ca_system_score_gemma":0.0004336127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1310794,"about_ca_topic_score_gemma":0.1317261,"domain_scores_codex":[0.9997433,0.0001248286,0.00001463808,0.00004165642,0.00002862029,0.00004694741],"domain_scores_gemma":[0.9981813,0.001178808,0.0001997395,0.0001222687,0.0001645635,0.0001531973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009085175,0.0003235512,0.9746675,0.00008147674,0.0001175638,0.001987158,0.001863721,0.006396943,0.001884812,0.0005521709,0.0002783741,0.01175579],"study_design_scores_gemma":[0.0000106106,0.0001939211,0.9489926,0.00003290353,0.0001072422,0.001070917,0.002785821,0.0445757,0.0004192445,0.0006313112,0.001149077,0.00003078689],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989863,0.000146731,0.0004094253,0.00006247996,9.486331e-7,0.000008494013,0.0001220904,0.000005358456,0.0002581957],"genre_scores_gemma":[0.9991292,0.0001249508,0.0005087503,0.000009174956,0.000001571175,0.000007829016,0.0001255153,0.000003241018,0.00008977419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1310794,"threshold_uncertainty_score":0.2606329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03615126450229836,"score_gpt":0.2763597645892297,"score_spread":0.2402085000869313,"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."}}