{"id":"W4404120676","doi":"10.18357/anthropologica66120242642","title":"Remembering Droughts and Abundance: Ecological Memory in the Semi-arid Region of Northeast Brazil","year":2024,"lang":"en","type":"article","venue":"Anthropologica","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Abundance (ecology); Arid; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001995185,0.00007999741,0.0000955182,0.00002719128,0.0002930343,0.0000268468,0.0001770144,0.00005359695,0.0006656667],"category_scores_gemma":[0.00001423044,0.00004746978,0.00003342925,0.0002200913,0.0008629215,0.00006726184,0.0002367243,0.0001006498,0.0000314408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003066983,"about_ca_system_score_gemma":0.000003284096,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005408713,"about_ca_topic_score_gemma":0.0005454025,"domain_scores_codex":[0.9992844,0.00006950537,0.0001276395,0.0002350851,0.0001397274,0.0001435845],"domain_scores_gemma":[0.9997303,0.00007670894,0.00003138038,0.0001388367,0.000002151711,0.00002064822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002756864,0.0002072599,0.9746287,0.00006857597,0.00001738629,0.0003348283,0.005732283,0.0002476124,0.0004494631,0.0005891593,0.004555609,0.01314154],"study_design_scores_gemma":[0.0001195946,0.0001178945,0.9648321,0.00002465837,0.00001534926,0.00003192833,0.005494789,0.0007751739,0.0000813261,0.0007500538,0.0276556,0.0001015516],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775851,0.0003363738,0.00005578371,0.0046621,0.0001056234,0.0001523435,0.000001386093,0.00002932587,0.01707198],"genre_scores_gemma":[0.998495,0.0006509555,0.00004537247,0.0003635859,0.00002386149,0.000004265786,0.000001869152,0.00000227094,0.0004128286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02309999,"threshold_uncertainty_score":0.7288584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01686136730018434,"score_gpt":0.2489999796118826,"score_spread":0.2321386123116982,"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."}}