{"id":"W1876898952","doi":"10.22230/jem.2006v7n2a539","title":"The impact of treatment on mountain pine beetle infestation rates","year":2006,"lang":"en","type":"article","venue":"Journal of Ecosystems and Management","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Forests; Wilfrid Laurier University; University of Victoria","funders":"Natural Resources Canada; U.S. Forest Service; Canadian Forest Service; Government of Canada","keywords":"Infestation; Hectare; Biology; Toxicology; Ecology; Agronomy; Agroforestry","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":[],"consensus_categories":[],"category_scores_codex":[0.0003791027,0.00008912435,0.000135091,0.0000533075,0.0001075593,0.00002421445,0.000085016,0.00001963995,0.00008749954],"category_scores_gemma":[0.00000413516,0.00004799983,0.00007601031,0.00007797922,0.00004117696,0.00008409587,0.00004152915,0.00003248493,0.00001692151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003173366,"about_ca_system_score_gemma":0.000005196613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001630631,"about_ca_topic_score_gemma":0.001571399,"domain_scores_codex":[0.9993125,0.00004363031,0.0003246143,0.00007662328,0.0001184271,0.0001241833],"domain_scores_gemma":[0.9994926,0.00004524762,0.0003195466,0.0001025799,0.00001035412,0.00002970185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001175487,0.002656595,0.316239,0.0002793063,0.002023862,0.0002749173,0.0007998411,0.3334551,0.004878942,0.08854765,0.1829894,0.06667981],"study_design_scores_gemma":[0.001719193,0.004150953,0.9313806,0.00006272858,0.00009066854,0.00003201657,0.0002430511,0.002768919,0.0002397816,0.003925543,0.05524911,0.0001373989],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880733,0.0001165065,0.0001264438,0.0001113832,0.0001360014,0.0002752455,0.000002261798,0.000003134899,0.01115567],"genre_scores_gemma":[0.9980416,0.0005462973,0.00007584487,0.00001496433,0.00003867747,0.00001035046,0.00000156139,0.000004567754,0.001266178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6151416,"threshold_uncertainty_score":0.2465037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006670306711253483,"score_gpt":0.2425354771335749,"score_spread":0.2358651704223214,"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."}}