{"id":"W4406895615","doi":"10.1093/ee/nvaf010","title":"Flight phenology and influence of region and habitat on the abundance of <i>Xylosandrus germanus</i> and <i>Anisandrus maiche</i> (Coleoptera: Curculionidae: Scolytinae) in New York","year":2025,"lang":"en","type":"article","venue":"Environmental Entomology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agricultural Research Service; U.S. Department of Agriculture","keywords":"Curculionidae; Ambrosia beetle; Orchard; Biology; Phenology; Ecology; Habitat; Abundance (ecology); Bark (sound)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006899099,0.0001212402,0.00009324031,0.0002742561,0.0002139204,0.000360601,0.000162992,0.0001205414,0.001624747],"category_scores_gemma":[0.0002047645,0.0001400966,0.0001160761,0.0002676831,0.0001942848,0.0001777923,0.0002148091,0.0001916715,0.0001500763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006623272,"about_ca_system_score_gemma":0.0003158877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1996111,"about_ca_topic_score_gemma":0.5462507,"domain_scores_codex":[0.9999532,0.000004818459,0.000003437697,0.00001646958,0.000008038308,0.0000141273],"domain_scores_gemma":[0.9997173,0.00004301932,0.000100278,0.000009714234,0.00003494522,0.00009479802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001178814,0.00003924224,0.9925228,0.00001338104,0.00003256155,0.00008737647,0.0003203025,0.00007528997,0.004652818,0.00001870188,0.0002697374,0.001849915],"study_design_scores_gemma":[7.530376e-7,0.000006980954,0.9997169,0.000001196811,0.000002103512,0.00001133303,0.0001154449,0.00004927402,0.00002786899,0.000001079255,0.00006626201,6.646054e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996281,0.00003569831,0.000009423249,0.000007469818,9.623921e-7,0.000001558988,0.0001580625,0.000001124703,0.0001576615],"genre_scores_gemma":[0.9991835,0.00006047034,0.00003561712,0.000008693344,0.00000141447,0.000003944951,0.0003143334,0.000001352802,0.000390689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1996111,"threshold_uncertainty_score":0.3968984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005794353707263773,"score_gpt":0.1960106642400683,"score_spread":0.1902163105328045,"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."}}