{"id":"W3082684425","doi":"10.1007/s10745-020-00172-2","title":"Vulnerability of the Açaí Palm to Climate Change","year":2020,"lang":"en","type":"article","venue":"Human Ecology","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Agência Nacional de Águas","keywords":"Livelihood; Climate change; Vulnerability (computing); Food security; Palm; Geography; Production (economics); Agroforestry; Socioeconomics; Environmental protection; Environmental science; Natural resource economics; Agriculture; Ecology; Economics; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0001873467,0.00007877858,0.0001058927,0.0004678537,0.0004434359,0.0006383987,0.0001298924,0.0001796213,0.00280825],"category_scores_gemma":[0.0009100891,0.00005916294,0.0001120862,0.0006409312,0.0002975278,0.0004017159,0.0004903016,0.0001948966,0.0001265221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005004427,"about_ca_system_score_gemma":0.0002468683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02138673,"about_ca_topic_score_gemma":0.02818939,"domain_scores_codex":[0.9998884,0.00002318967,0.000003629084,0.00001606017,0.00001243873,0.00005636388],"domain_scores_gemma":[0.9996948,0.00008810091,0.0001127094,0.00002329911,0.0000296664,0.00005136607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005197179,0.0001231288,0.9635359,0.00005095502,0.0001071752,0.0006428287,0.003770171,0.001507371,0.005394631,0.003004413,0.000305289,0.02103844],"study_design_scores_gemma":[0.00000418523,0.00004709624,0.9919763,0.000007552384,0.00002081815,0.0003718001,0.003800315,0.0009874671,0.0005355095,0.0009593432,0.001284163,0.000005481366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998759,0.00003879785,0.00001761679,0.00004647065,7.311251e-7,8.041056e-7,0.00003560906,8.187213e-7,0.001100145],"genre_scores_gemma":[0.9997459,0.00004524521,0.000009767147,0.000003064933,9.698751e-7,3.352633e-7,0.00001320869,4.286407e-7,0.0001810205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02138673,"threshold_uncertainty_score":0.04252452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08518857518498352,"score_gpt":0.2606161273894032,"score_spread":0.1754275522044197,"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."}}