{"id":"W4383218012","doi":"10.1111/1365-2664.14464","title":"Integrating climate change into agroforestry conservation: A case study on native plant species in the Brazilian Atlantic Forest","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Ecology","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Climate change; Geography; Ecology; Niche; Environmental resource management; Agroforestry; Environmental science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008649544,0.0001217021,0.0002127145,0.0001063695,0.0001992404,0.00003636094,0.0002386072,0.00006353897,0.001473557],"category_scores_gemma":[0.00005996436,0.00007991932,0.00004710858,0.0004723647,0.0001371985,0.00008970111,0.0001169055,0.000303573,0.0002633953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000338366,"about_ca_system_score_gemma":0.00001031344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002617043,"about_ca_topic_score_gemma":0.04403525,"domain_scores_codex":[0.9988646,0.00007961262,0.0003843844,0.0001446315,0.000248392,0.0002783957],"domain_scores_gemma":[0.9992193,0.0003270716,0.0002734531,0.0001180657,0.00001366573,0.00004843236],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002275943,0.0004588442,0.9516125,0.00001438707,0.00002400138,0.005395174,0.02823282,0.00008961965,0.0002082842,0.006286053,0.007062061,0.0003886034],"study_design_scores_gemma":[0.0006514241,0.0005335668,0.7993177,0.00001032626,0.0000119419,0.0006318205,0.1972402,0.0001205553,0.0000214531,0.0003751512,0.001008428,0.00007753256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907597,0.000002152557,0.0000014214,0.001948369,0.0001705698,0.0003883696,0.00001286865,0.00001212062,0.00670444],"genre_scores_gemma":[0.9987413,0.00003536954,0.00001128352,0.001030697,0.00008880286,0.00005850011,0.0000164999,0.000006923752,0.00001058876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1690073,"threshold_uncertainty_score":0.9994392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05138741154754362,"score_gpt":0.2889664094659322,"score_spread":0.2375789979183885,"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."}}