{"id":"W1989682534","doi":"10.1007/s10453-010-9176-9","title":"Investigation into mountain pine beetle above-canopy dispersion using weather radar and an atmospheric dispersion model","year":2010,"lang":"en","type":"article","venue":"Aerobiologia","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Resources Canada","keywords":"HYSPLIT; Environmental science; Atmospheric sciences; Dispersion (optics); Canopy; Weather Research and Forecasting Model; Wind direction; Meteorology; Wind speed; Geography; Geology; Aerosol","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003660794,0.0002017119,0.0001744844,0.000009633557,0.0002165645,0.00003983759,0.0002050735,0.0001872224,0.0002564574],"category_scores_gemma":[0.00004406018,0.0001621876,0.00003167206,0.0001707391,0.0002906049,0.0004590014,0.0001805938,0.0002008252,0.0001111927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001635837,"about_ca_system_score_gemma":0.00001270965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003263655,"about_ca_topic_score_gemma":0.001056384,"domain_scores_codex":[0.998844,0.00009616346,0.0001837486,0.0004735085,0.0001329744,0.0002696353],"domain_scores_gemma":[0.9993756,0.00003512856,0.00009813466,0.0003318239,0.000008028814,0.0001512805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001475382,0.00002243726,0.08690544,0.000007660582,0.000003688275,0.000001156627,0.0003554572,0.001141623,0.9093922,0.0000576887,0.0001460083,0.001951912],"study_design_scores_gemma":[0.0005034147,0.0002826657,0.03587509,0.00002912345,0.00002187903,0.00001874333,0.0001389275,0.9408779,0.02084645,0.0005808811,0.000383462,0.0004414393],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981879,0.0000340368,0.0009213782,0.00009636907,0.000210891,0.000309826,0.00000468961,0.00007446084,0.0001604236],"genre_scores_gemma":[0.9706329,0.000009039743,0.02890795,0.0001695682,0.00005403207,0.000008751872,0.00003087729,0.00002498955,0.0001618781],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9397363,"threshold_uncertainty_score":0.6613818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009514232475609475,"score_gpt":0.2230684617709551,"score_spread":0.2135542292953456,"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."}}