{"id":"W1974584019","doi":"10.1016/j.ecolmodel.2014.06.018","title":"Modeling micro-scale ecological processes and emergent patterns of mountain pine beetle epidemics","year":2014,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Mountain pine beetle; Dendroctonus; Ecology; Biological dispersal; Tree (set theory); Outbreak; Geography; Bark beetle; Biology; Curculionidae; Population","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006511171,0.0001842759,0.0003158973,0.00003378833,0.0001742553,0.00001177483,0.0002390323,0.0001897753,0.001179783],"category_scores_gemma":[0.0001186949,0.0001469615,0.00005482949,0.0001239931,0.0001416025,0.0001082439,0.0003952001,0.0001916364,0.00006090153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007319709,"about_ca_system_score_gemma":0.000006316362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373749,"about_ca_topic_score_gemma":0.0004684721,"domain_scores_codex":[0.9984634,0.00009938274,0.0004258934,0.0004618277,0.0001476312,0.0004018794],"domain_scores_gemma":[0.9994233,0.0001693215,0.0001024689,0.0001702874,0.00001839426,0.0001162602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002343874,0.0002963732,0.06137884,0.00005423618,0.00001065167,0.000002920031,0.0001110963,0.936274,0.0006445385,0.0007680692,0.00005302203,0.0003827975],"study_design_scores_gemma":[0.0002709352,0.0003279547,0.0186289,0.00001221808,0.00002461,0.000004455086,0.00006510806,0.9669155,0.0002342505,0.01300276,0.0003090777,0.0002042499],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.770654,0.0000379338,0.2279642,0.0001535316,0.00006733953,0.0002121555,0.00000350265,0.00003942082,0.0008678947],"genre_scores_gemma":[0.988182,0.0002659316,0.01083433,0.000480054,0.00003686539,0.00004545912,0.000008428339,0.00001110991,0.0001358105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.217528,"threshold_uncertainty_score":0.9997333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02099501516834624,"score_gpt":0.2276214725310568,"score_spread":0.2066264573627105,"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."}}