{"id":"W2922264535","doi":"10.1002/ps.5408","title":"Prediction of current and future potential distributions of the <i>Eucalyptus</i> pest <i>Leptocybe invasa</i> (Hymenoptera: Eulophidae) in China using the CLIMEX model","year":2019,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"National Key Research and Development Program of China","keywords":"Eulophidae; PEST analysis; Hymenoptera; Eucalyptus; Biology; China; Integrated pest management; Ecology; Botany; Geography; Parasitoid","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003797884,0.0005692342,0.0002581233,0.0004970445,0.0002408582,0.0004560007,0.0004184048,0.0003463434,0.000804555],"category_scores_gemma":[0.0005972062,0.0001991864,0.0003665244,0.0001960818,0.0002026787,0.0003158633,0.0002652172,0.0002183255,0.0001038069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009769496,"about_ca_system_score_gemma":0.0009960078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08492237,"about_ca_topic_score_gemma":0.05333599,"domain_scores_codex":[0.9999292,0.00001277007,0.000004541929,0.0000249709,0.00001267761,0.00001593339],"domain_scores_gemma":[0.9997253,0.0001008079,0.0000541673,0.00001623241,0.00006498192,0.00003847629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000427953,0.00001662165,0.02657109,0.00001248228,0.00001738763,0.000054189,0.00001719073,0.969148,0.0005100906,0.000150382,0.0002067797,0.003252877],"study_design_scores_gemma":[0.000004665948,0.00001450224,0.004822109,0.000001550351,0.000004235691,0.000005856401,0.00001026577,0.9948496,0.0001373467,0.00008525352,0.00006166601,0.000002850181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900277,0.00007327647,0.007758331,0.00008578177,0.000009089982,0.00001714549,0.0004551211,0.0001522234,0.001421262],"genre_scores_gemma":[0.9978825,0.00003134746,0.001384967,0.000008038595,0.00000186877,0.00001079377,0.0003025022,0.000004842757,0.0003728917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08492237,"threshold_uncertainty_score":0.1688561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01911039867843888,"score_gpt":0.2353164441490404,"score_spread":0.2162060454706015,"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."}}