{"id":"W3088057135","doi":"10.1093/jee/toaa181","title":"Maximizing Bark and Ambrosia Beetle (Coleoptera: Curculionidae) Catches in Trapping Surveys for Longhorn and Jewel Beetles","year":2020,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada; Canadian Food Inspection Agency; Ministry of Natural Resources","keywords":"Longhorn beetle; Biology; Understory; Curculionidae; Ambrosia beetle; Ambrosia; Bark (sound); Buprestidae; Hardwood; Canopy; Botany; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000378895,0.000538396,0.0004317963,0.0003179468,0.0003605964,0.0004027614,0.000409637,0.0002506316,0.0009381004],"category_scores_gemma":[0.0003662188,0.0002882283,0.0003190791,0.0002156474,0.0002394886,0.0002160485,0.0002909478,0.0002977265,0.0002224967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004763258,"about_ca_system_score_gemma":0.0005010443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01219213,"about_ca_topic_score_gemma":0.08846697,"domain_scores_codex":[0.9995651,0.00006666778,0.00002621411,0.0001536683,0.0001049635,0.00008342474],"domain_scores_gemma":[0.9995703,0.00007170716,0.00012948,0.00003163447,0.00006628794,0.0001306155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001645894,0.001309821,0.1266349,0.0003424679,0.0001687739,0.0001098545,0.0003954508,0.0008077056,0.8461936,0.00005111106,0.0002810857,0.0220593],"study_design_scores_gemma":[0.00005417357,0.00338091,0.93508,0.00002305507,0.0001751408,0.0001360527,0.0002055098,0.001034147,0.05862862,0.00002544118,0.001231432,0.00002550157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987822,0.0001071588,0.0004216936,0.000009378381,0.000003324197,0.00006319444,0.00009802992,0.00001905682,0.0004958564],"genre_scores_gemma":[0.9893634,0.0002226823,0.008300688,0.00006879088,0.000006197725,0.0001838943,0.0004878467,0.00001772687,0.001348725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01219213,"threshold_uncertainty_score":0.02424234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140847318595101,"score_gpt":0.2400707101944932,"score_spread":0.2186622370085422,"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."}}