{"id":"W2885339221","doi":"10.1088/1748-9326/aad74e","title":"Climate change and permafrost thaw-induced boreal forest loss in northwestern Canada","year":2018,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Subarctic climate; Transect; Climate change; Taiga; Physical geography; Environmental science; Boreal; Global warming; Climatology; Geography; Geology; Forestry; Oceanography","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004209593,0.0001603899,0.0001444958,0.0001212847,0.0002797939,0.00006978275,0.0002180052,0.00005361933,0.001873733],"category_scores_gemma":[0.000007425592,0.0001441837,0.00002113398,0.0001416229,0.0004264428,0.0002686009,0.00009240194,0.000296835,0.0002347262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005280434,"about_ca_system_score_gemma":0.00002536426,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8028529,"about_ca_topic_score_gemma":0.9951277,"domain_scores_codex":[0.9978096,0.0001296517,0.0001668273,0.0003816029,0.0006149127,0.0008974156],"domain_scores_gemma":[0.9993574,0.0001431969,0.00002824633,0.0002114788,0.000004635519,0.000255064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005243226,0.00001354414,0.9899798,0.00001215403,0.000003234714,0.0002588854,0.0008909992,7.725543e-7,0.001106555,0.000001350436,0.0004719803,0.007208289],"study_design_scores_gemma":[0.0003272576,0.0001359545,0.9963066,0.00002554448,0.000001928533,0.00002488858,0.0007250833,0.000295443,0.0001670949,0.00000737694,0.001815273,0.0001675407],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918566,0.0001720958,1.360416e-7,0.00243345,0.0001539546,0.0002943225,0.004096755,0.000007072395,0.0009856555],"genre_scores_gemma":[0.995162,0.0004184549,0.000005179272,0.00208012,0.000418281,0.000009454438,0.001879174,0.000009348269,0.00001802774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1922749,"threshold_uncertainty_score":0.9990387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06573403712606271,"score_gpt":0.2735004946193,"score_spread":0.2077664574932373,"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."}}