{"id":"W2129980173","doi":"10.1080/09670874.2010.505667","title":"Estimates of bark beetle infestation expansion factors with adaptive cluster sampling","year":2010,"lang":"en","type":"article","venue":"International Journal of Pest Management","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Western Forest Products; University of British Columbia","funders":"Canadian Forest Service; Natural Resources Canada","keywords":"Infestation; Hectare; PEST analysis; Biology; Sampling (signal processing); Mountain pine beetle; Forestry; Ecology; Agronomy; Geography; Horticulture","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002554867,0.00009778661,0.0001100898,0.0001373475,0.00004120681,0.00002178802,0.0003251149,0.00003190898,0.0009433544],"category_scores_gemma":[0.00002826843,0.00007355636,0.00004907106,0.00008083852,0.0001089574,0.0003185071,0.0001689983,0.0001413464,0.00003228429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007947884,"about_ca_system_score_gemma":0.000007773924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007372043,"about_ca_topic_score_gemma":0.0002541798,"domain_scores_codex":[0.9989964,0.00001581913,0.0003007207,0.0001133164,0.0004654477,0.0001082436],"domain_scores_gemma":[0.9993727,0.00006931383,0.0003542677,0.0000932992,0.00006525106,0.00004516999],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00201074,0.00199264,0.6335579,0.0001143581,0.001961188,0.0004472947,0.004679803,0.2165497,0.03129306,0.03954212,0.007271841,0.06057935],"study_design_scores_gemma":[0.001054976,0.0004196326,0.9861478,0.00008015092,0.00008788479,0.00004195069,0.0005232247,0.001583964,0.001742429,0.003876123,0.004287976,0.0001538908],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676069,0.000003746676,0.02541294,0.0001394022,0.0007130663,0.0001326414,0.000002612396,0.000007227566,0.00598147],"genre_scores_gemma":[0.9749978,0.00001697465,0.02467328,0.0001023422,0.00004112018,0.000003816476,0.000005239165,0.000007762484,0.0001516257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3525899,"threshold_uncertainty_score":0.9999699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01022396483691881,"score_gpt":0.2505882899135293,"score_spread":0.2403643250766105,"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."}}