{"id":"W4404635377","doi":"10.1101/2024.11.21.624504","title":"Modeling Mountain Pine Beetle Abundance in Novel Hosts","year":2024,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Victoria; University of Alberta","funders":"","keywords":"Mountain pine beetle; Range (aeronautics); Taiga; Abundance (ecology); Ecology; Boreal; Pinus contorta; Pine barrens; Pine forest; Host (biology); Jack pine; Biology; Environmental science; Forestry; Pinus <genus>; Geography; Botany","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005297409,0.0003173823,0.0003316047,0.0004935243,0.0003150561,0.0006672264,0.0007378128,0.000669368,0.001285143],"category_scores_gemma":[0.001074971,0.0002872427,0.0004148235,0.0003403711,0.0003200044,0.000392136,0.0003318349,0.0003507986,0.0001301509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009431325,"about_ca_system_score_gemma":0.0006478797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1085559,"about_ca_topic_score_gemma":0.1002026,"domain_scores_codex":[0.9998509,0.00004358749,0.000003588427,0.00004895175,0.00001281786,0.00004008332],"domain_scores_gemma":[0.9994547,0.0002894294,0.00009745738,0.00002904947,0.00004478657,0.00008459947],"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":[0.0001374232,0.00008297852,0.09483319,0.0000156208,0.00005930791,0.0001109755,0.00004095647,0.9006265,0.0007163204,0.0006543528,0.0002941246,0.002428267],"study_design_scores_gemma":[0.000007016347,0.00003011643,0.01455832,0.000002129062,0.00001105148,0.00001792143,0.00004067888,0.9849256,0.0001060792,0.0001933629,0.0001026648,0.000005108855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959495,0.00005237049,0.003117265,0.00005734505,0.000004370974,0.000006419875,0.0003973193,0.00004580735,0.0003695583],"genre_scores_gemma":[0.9979262,0.00002137752,0.001174684,0.00000761489,0.00000450427,0.00000589633,0.0003256524,0.000004570849,0.000529376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1085559,"threshold_uncertainty_score":0.2158481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101807420358419,"score_gpt":0.2125931872171802,"score_spread":0.201575113013596,"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."}}