{"id":"W4200184675","doi":"10.1007/s10980-021-01382-9","title":"Quantifying and predicting population connectivity of an outbreaking forest insect pest","year":2021,"lang":"en","type":"article","venue":"Landscape Ecology","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Université de Montréal; Cégep Marie-Victorin","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Resources Canada; Georg-August-Universität Göttingen; Compute Canada","keywords":"Biological dispersal; Outbreak; Spruce budworm; Ecology; Geography; Population; Landscape ecology; Mountain pine beetle; Biology; Habitat; Demography; Larva","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":[0.0002760634,0.00007836276,0.0001593688,0.00003215201,0.000136588,0.00001001544,0.00006516366,0.00009277934,0.0006610517],"category_scores_gemma":[0.0001293053,0.00007795852,0.00002168811,0.0001151007,0.00006379508,0.0001697301,0.0001852744,0.00008778085,0.0000128849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000294208,"about_ca_system_score_gemma":0.000006601755,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005086947,"about_ca_topic_score_gemma":0.07253832,"domain_scores_codex":[0.999221,0.0001114618,0.0001627548,0.0002529934,0.00006708826,0.0001847636],"domain_scores_gemma":[0.9995756,0.000135385,0.00009887285,0.0001413834,0.000007427304,0.00004135702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000014105,0.0000743518,0.9946815,0.00001709388,0.00001236699,0.00002491862,0.000212725,0.001756599,0.0009762701,0.0009546823,0.00003266245,0.001242743],"study_design_scores_gemma":[0.0003351825,0.0001249055,0.9880224,0.000004760461,0.0000186855,0.00005176148,0.0001383413,0.01019409,0.0001557171,0.0007741904,0.0001020714,0.0000778673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967083,0.00001832208,0.00007625096,0.00005131936,0.0002402182,0.0001034361,0.000002486201,0.00002961172,0.002770082],"genre_scores_gemma":[0.9992915,0.000008029829,0.000469109,0.0001112643,0.00002923386,0.00001057367,0.00002889434,0.000007257749,0.00004411919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07202963,"threshold_uncertainty_score":0.9443854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178774226906921,"score_gpt":0.2442669646687348,"score_spread":0.2263895419780427,"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."}}