{"id":"W2794902258","doi":"10.1002/eap.1724","title":"Current and projected cumulative impacts of fire, drought, and insects on timber volumes across Canada","year":2018,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Spruce budworm; Disturbance (geology); Environmental science; Mountain pine beetle; Climate change; Ecology; Geography; Vegetation (pathology); Cumulative effects; Forestry; Biology; Lepidoptera genitalia","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":[0.000120443,0.0001073119,0.0001456691,0.000005879676,0.0001844819,0.00001449895,0.00009952739,0.0000537821,0.0002014919],"category_scores_gemma":[0.00008639816,0.0000813102,0.00001263417,0.0002081949,0.0003210981,0.00005767832,0.0001454726,0.00008943187,0.00005937217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001452734,"about_ca_system_score_gemma":0.00002249124,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05695892,"about_ca_topic_score_gemma":0.2375305,"domain_scores_codex":[0.9991349,0.00004699962,0.0001649954,0.0002932753,0.000145994,0.0002138197],"domain_scores_gemma":[0.9993899,0.000219354,0.00009671442,0.0001648641,0.00001712279,0.0001120079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006709201,0.000987587,0.8629343,0.0001106811,0.00004305765,0.000004024148,0.001369312,0.00005690189,0.002475162,0.0006712793,0.01558507,0.1156955],"study_design_scores_gemma":[0.0001888392,0.0002510655,0.9743044,0.00001022185,0.000004992763,0.000003266618,0.00002014175,0.004859386,0.0005351191,0.0002054514,0.01950865,0.0001084496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976119,0.00004834096,0.00004538057,0.0001401341,0.00004030703,0.0007798941,0.00005095279,0.00002387352,0.001259264],"genre_scores_gemma":[0.9993687,0.00001419241,0.000192151,0.00009344413,0.00003796632,0.0002150933,0.000007625509,0.000005771787,0.00006505108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1805716,"threshold_uncertainty_score":0.9493209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01085246282338624,"score_gpt":0.267979951193292,"score_spread":0.2571274883699058,"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."}}