{"id":"W4382682667","doi":"10.1007/978-3-031-11553-0_19","title":"Monitoring and Surveillance of Forest Insects","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"European Commission; New Zealand Government","keywords":"Biology; Ecology; Gypsy moth; Lymantria dispar; Longhorn beetle; PEST analysis; Population; Bark beetle; Context (archaeology); Biodiversity; Geography; Bark (sound); Larva; Botany","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001206099,0.0001245605,0.0001637462,0.00003706589,0.00003879645,0.000004583202,0.0001100868,0.0001279114,0.001051511],"category_scores_gemma":[0.00001048028,0.0001144312,0.00003184735,0.00002247295,0.0001785865,0.00003474266,0.0003383571,0.00009619084,0.0003995991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003334912,"about_ca_system_score_gemma":0.000002922127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001619378,"about_ca_topic_score_gemma":0.001450935,"domain_scores_codex":[0.9993885,0.000004605588,0.0001409092,0.0002145722,0.0001269879,0.0001244955],"domain_scores_gemma":[0.9996572,0.00005568833,0.00007716532,0.0001704572,0.000003123942,0.00003638089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004260334,0.00003506865,0.7508672,0.0002471682,0.0001806994,0.0001160387,0.0002083606,0.0008780821,0.0002645146,0.2172185,0.01356759,0.0163741],"study_design_scores_gemma":[0.0001596934,0.0001109674,0.9311529,0.00004655366,0.00001169859,0.000003624729,0.000007701344,0.00003604734,0.00003424302,0.03564721,0.03254335,0.0002459754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04019767,0.0000474382,0.0000122758,0.00002289073,0.0003256081,0.0001689828,0.00000407522,0.00005500341,0.959166],"genre_scores_gemma":[0.4347919,0.0003276679,0.000091838,0.00001474852,0.00002453167,0.00000475496,0.00000243554,0.00001750055,0.5647246],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3945942,"threshold_uncertainty_score":0.9998617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555171606533296,"score_gpt":0.2106533311432913,"score_spread":0.1951016150779584,"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."}}