{"id":"W3020692662","doi":"10.4039/tce.2020.24","title":"Managing bark and ambrosia beetles (Coleoptera: Curculionidae: Scolytinae) with semiochemicals","year":2020,"lang":"en","type":"article","venue":"The Canadian Entomologist","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Curculionidae; Ambrosia; Ambrosia beetle; Bark (sound); Geography; Bark beetle; Ecology; Biology; Agroforestry; Forestry","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":[0.001067891,0.0004492634,0.0002632755,0.000692881,0.0009912141,0.002088567,0.0005871432,0.0005476411,0.006527313],"category_scores_gemma":[0.0006702681,0.0001002243,0.0001478004,0.0006464075,0.0003808222,0.0008341447,0.0009013531,0.0007494625,0.001092276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002368752,"about_ca_system_score_gemma":0.004924322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06305238,"about_ca_topic_score_gemma":0.2304397,"domain_scores_codex":[0.9995276,0.00004737499,0.00001212005,0.0000414305,0.0002525727,0.0001188315],"domain_scores_gemma":[0.9992498,0.0000854371,0.0000658249,0.00001466798,0.0003513959,0.0002328216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002570472,0.0001796084,0.01045923,0.002047925,0.00005284153,0.0007917462,0.001403349,0.0005614535,0.04896804,0.00221104,0.4102595,0.5228083],"study_design_scores_gemma":[0.00001230583,0.0001336116,0.01258483,0.0004600736,0.00004426289,0.0002848194,0.001490892,0.0002390774,0.009911973,0.0004503239,0.9743695,0.00001841309],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1582684,0.4833478,0.007477531,0.06556313,0.015607,0.0005522808,0.00176293,0.0006135654,0.2668073],"genre_scores_gemma":[0.3437495,0.3917286,0.008446353,0.005623505,0.005590858,0.000128189,0.001606268,0.000208277,0.2429184],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9369476,"threshold_uncertainty_score":0.1253707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01091039532163179,"score_gpt":0.1996664723767937,"score_spread":0.188756077055162,"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."}}