{"id":"W2549927474","doi":"10.1111/ecog.02769","title":"Climate drivers of bark beetle outbreak dynamics in Norway spruce forests","year":2016,"lang":"en","type":"article","venue":"Ecography","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":346,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Skogforsk; Umeå Universitet; Sveriges Lantbruksuniversitet; Vetenskapsrådet; Svenska Forskningsrådet Formas; Stiftelsen för Miljöstrategisk Forskning","keywords":"Bark beetle; Ecology; Outbreak; Climate change; Bark (sound); Geography; Mountain pine beetle; Forestry; Environmental science; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0005170602,0.0001856289,0.000217749,0.0004436809,0.0001590828,0.0004648405,0.0001149775,0.0001491973,0.0004810046],"category_scores_gemma":[0.0007155481,0.00009843543,0.0003167484,0.0003407645,0.0001951515,0.0002690517,0.0002554893,0.0001761536,0.00005528131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654405,"about_ca_system_score_gemma":0.0002000148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0144632,"about_ca_topic_score_gemma":0.023097,"domain_scores_codex":[0.9998417,0.00003662498,0.00001711323,0.00005895606,0.00001541379,0.00003014175],"domain_scores_gemma":[0.9994229,0.0001401438,0.0002810742,0.0000361873,0.00005119333,0.00006855902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004129,0.00001042019,0.9962501,0.0000126734,0.00004986818,0.00006643934,0.00009110865,0.001213855,0.0009842579,0.00002904998,0.00005224266,0.00119877],"study_design_scores_gemma":[0.000001116222,0.0000115077,0.9988601,0.000003708975,0.00001017061,0.00003012097,0.0001432338,0.0007823388,0.00004798903,0.0000197867,0.00008748678,0.000002420636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994761,0.0001304766,0.00008495338,0.000008271257,0.000002323804,0.000001330377,0.0001645001,0.000003033898,0.0001289498],"genre_scores_gemma":[0.9996154,0.00005808205,0.00005323355,0.000004113164,0.000002604013,0.000001826499,0.000232811,0.000001224867,0.00003064766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0144632,"threshold_uncertainty_score":0.02875805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003601138960087474,"score_gpt":0.1929555310681106,"score_spread":0.1893543921080232,"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."}}