{"id":"W7072225850","doi":"","title":"Traços funcionais como preditores da vulnerabilidade de plantas às mudanças climáticas: estudo de caso no semiárido brasileiro","year":2022,"lang":"en","type":"article","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)","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":[0.0008634807,0.0002478085,0.0004107473,0.001081454,0.0008906607,0.000776684,0.0003840716,0.0004210209,0.001190542],"category_scores_gemma":[0.00416905,0.0002831873,0.0004076524,0.001154456,0.001214947,0.0005262729,0.0005531291,0.0003817236,0.0001407753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008604426,"about_ca_system_score_gemma":0.0006891369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1084397,"about_ca_topic_score_gemma":0.2023377,"domain_scores_codex":[0.9996918,0.00007214613,0.00002848186,0.0000795662,0.00006013302,0.00006786246],"domain_scores_gemma":[0.9980373,0.0008691973,0.0005434786,0.0001891516,0.0001811322,0.0001797929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006200413,0.0001459415,0.9788337,0.00006145875,0.00003587587,0.001056588,0.007894001,0.0003259426,0.002001568,0.0004796433,0.0001040712,0.008999195],"study_design_scores_gemma":[0.000006328064,0.0001174854,0.989153,0.0000312893,0.00004784781,0.00100489,0.005370632,0.002295555,0.0003257172,0.0005243768,0.001104524,0.00001838097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989884,0.0001592966,0.0001584905,0.00002941182,0.000001046893,0.000009706753,0.00006789845,0.000004421109,0.0005813113],"genre_scores_gemma":[0.9995573,0.0001331055,0.0001597714,0.00000575065,0.000001481485,0.000004261006,0.00003657816,0.00000170841,0.0001001088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1084397,"threshold_uncertainty_score":0.2156171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02462078404156678,"score_gpt":0.2467827167909143,"score_spread":0.2221619327493475,"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."}}