{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000305436,0.0002693048,0.0001529962,0.000958322,0.0003839574,0.0006129427,0.0002898926,0.0002304177,0.00222963],"category_scores_gemma":[0.001002383,0.00009114281,0.0001926807,0.0006067941,0.0001727942,0.0003935876,0.0002215465,0.000273319,0.0001967859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001702453,"about_ca_system_score_gemma":0.0008610577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3373788,"about_ca_topic_score_gemma":0.6175739,"domain_scores_codex":[0.9998978,0.00001638077,0.000004705493,0.00004123547,0.00001488442,0.00002495502],"domain_scores_gemma":[0.9995098,0.000141831,0.0001790224,0.00002687976,0.0000894621,0.00005300792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004240522,0.0000291496,0.9623412,0.00004244556,0.00009373931,0.00006576179,0.00009794945,0.01434125,0.003263648,0.0002851121,0.001074281,0.01832302],"study_design_scores_gemma":[0.000004821427,0.00002144279,0.9468991,0.00001929294,0.0000398815,0.00005429266,0.0001975604,0.051013,0.0004360523,0.0003840819,0.0009228436,0.000007650087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908466,0.0002614227,0.004388664,0.0001276185,0.000004284366,0.00001679033,0.002468159,0.00007523483,0.001811269],"genre_scores_gemma":[0.9946616,0.00007252696,0.003283967,0.0000140726,0.000003369935,0.000006868664,0.001635655,0.000006658149,0.0003154378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3373788,"threshold_uncertainty_score":0.6708301,"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."}}