{"id":"W2977652438","doi":"10.3390/f10100866","title":"Improving Mountain Pine Beetle Survival Predictions Using Multi-Year Temperatures Across the Western USA","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Bark beetle; Mountain pine beetle; Dendroctonus; Climate change; Ecology; Bark (sound); Forest ecology; Environmental science; Outbreak; Ecosystem; Forest management; Biology; Geography","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":[0.0004897696,0.0003462833,0.0001891912,0.0002410762,0.0001921498,0.0004514763,0.0002191397,0.0002234937,0.0002925514],"category_scores_gemma":[0.0009429848,0.0001348363,0.0003061736,0.0002602527,0.00006397576,0.0003173623,0.0002066887,0.0002892234,0.00009424632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00030069,"about_ca_system_score_gemma":0.0004331896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08599357,"about_ca_topic_score_gemma":0.168494,"domain_scores_codex":[0.9998945,0.00002441515,0.000006972978,0.00004957318,0.00001331067,0.00001126048],"domain_scores_gemma":[0.9995722,0.0001340425,0.000109336,0.00003747509,0.0001131189,0.00003382042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001958311,0.0002221729,0.8245786,0.00002970836,0.0001779789,0.00009449061,0.0002121012,0.1368942,0.003414546,0.00007145243,0.0009222664,0.03318663],"study_design_scores_gemma":[0.00001193743,0.0001884083,0.5135114,0.00001528424,0.00007266096,0.00003423477,0.000251907,0.4841458,0.00115655,0.0001064185,0.0004868612,0.00001852824],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980964,0.00004637198,0.001196761,0.00003294757,0.000003391513,0.000004648965,0.0003233788,0.00005021118,0.0002457768],"genre_scores_gemma":[0.9979575,0.00005808612,0.001213307,0.00001263317,0.000003495245,0.000004584981,0.0006210304,0.000003486078,0.0001259531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08599357,"threshold_uncertainty_score":0.1709861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01246040444686376,"score_gpt":0.2605156838114279,"score_spread":0.2480552793645642,"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."}}