{"id":"W2996343877","doi":"10.3390/agriculture9120263","title":"Agroclimatic Risk Zoning of Avocado (Persea americana) in the Hydrographic Basin of Paraná River III, Brazil","year":2019,"lang":"en","type":"article","venue":"Agriculture","topic":"Environmental and biological studies","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Persea; Zoning; Context (archaeology); Geography; Environmental science; Agriculture; Structural basin; Water balance; Water resource management; Agroforestry; 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":[],"consensus_categories":[],"category_scores_codex":[0.000171037,0.0001216354,0.0002211937,0.00001084708,0.00005783545,0.000003629817,0.0002534598,0.00005940058,0.0003993524],"category_scores_gemma":[0.00001425534,0.00005207762,0.0001038047,0.0003825211,0.0004142389,0.00005846936,0.0001291663,0.0001549283,0.00008435455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002358519,"about_ca_system_score_gemma":7.582576e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177167,"about_ca_topic_score_gemma":0.0002633497,"domain_scores_codex":[0.9990812,0.0000963756,0.0001940164,0.0001952832,0.0002501061,0.0001830101],"domain_scores_gemma":[0.9995852,0.00009473429,0.0001594299,0.0001336501,0.000002288829,0.00002473604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001022592,0.0001410264,0.9774761,0.00001001751,0.00001745101,0.000001614839,0.001190109,0.0002626291,0.01860477,0.00003013906,0.0007164464,0.001539425],"study_design_scores_gemma":[0.0002271796,0.000156241,0.9949139,0.00002214886,0.0000198246,0.000002038982,0.002049028,0.00001719428,0.0009230681,0.0001747705,0.001396822,0.00009773712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921716,0.0002132895,0.000003496498,0.00024975,0.00001867322,0.0002294384,0.00001060498,0.000006024751,0.007097116],"genre_scores_gemma":[0.9990528,0.0003973507,0.0001681489,0.0002308633,0.000008733314,0.00001006058,0.000007052047,0.00000224064,0.0001227353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0176817,"threshold_uncertainty_score":0.4372629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003070984736588544,"score_gpt":0.1753234915395513,"score_spread":0.1722525068029628,"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."}}