{"id":"W2940885113","doi":"10.3390/f10040355","title":"Projecting the Potential Global Distribution of Carpomya vesuviana (Diptera: Tephritidae), Considering Climate Change and Irrigation Patterns","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Insect behavior and control techniques","field":"Agricultural and Biological Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Tephritidae; PEST analysis; Climate change; Distribution (mathematics); Ecology; Representative Concentration Pathways; Geography; Irrigation; Integrated pest management; Global warming; Environmental science; Climate model; 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":[0.0001165434,0.00007169254,0.00009103611,0.000002915148,0.0001038646,0.00003632711,0.00006845588,0.00005161744,0.00001985057],"category_scores_gemma":[0.000007434965,0.00002653005,0.00003994757,0.00006908873,0.00002795324,0.0001054354,0.0000495716,0.00005327799,0.000002016391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001616833,"about_ca_system_score_gemma":0.000002098673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001015275,"about_ca_topic_score_gemma":0.002471116,"domain_scores_codex":[0.9994654,0.00003249352,0.0001193039,0.0001240293,0.0001014184,0.0001573344],"domain_scores_gemma":[0.9998143,0.00002063824,0.00007160064,0.00003648963,0.00003690351,0.00002012565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001877648,0.00001314932,0.9148707,0.00001479015,0.000003165782,0.000001892533,0.00005254429,2.561488e-7,0.03046857,0.001823834,0.000006639093,0.05272565],"study_design_scores_gemma":[0.00009056211,0.0001166603,0.9975016,0.00004566022,0.00001061821,0.00001232778,0.0001091354,0.0001363323,0.001265288,0.0005825338,0.00006639735,0.00006293735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989656,0.00005153958,0.00001014483,0.0001680644,0.00007408528,0.0003766509,0.0001684709,0.00004325088,0.0001422434],"genre_scores_gemma":[0.9997385,0.00001391028,0.000006874954,0.00003445323,0.00009667086,0.00002857426,0.00007841744,4.967337e-7,0.000002129217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08263081,"threshold_uncertainty_score":0.1534799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01842152960908272,"score_gpt":0.2315658202904905,"score_spread":0.2131442906814078,"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."}}