{"id":"W2535225609","doi":"10.1111/gcb.13537","title":"Threshold loss of discontinuous permafrost and landscape evolution","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Alberta Innovates - Technology Futures","keywords":"Permafrost; Surface runoff; Environmental science; Snow; Watershed; Hydrology (agriculture); Snowmelt; Precipitation; Physical geography; Geology; Geomorphology; Geography; Ecology","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":[0.0001297815,0.00006237425,0.0001062078,0.0006859112,0.0002825376,0.0005936307,0.0002067412,0.0001519794,0.001156731],"category_scores_gemma":[0.0006755994,0.00006754276,0.0001324149,0.0007700708,0.0004954935,0.0002179522,0.000302734,0.0001500928,0.00008105841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481624,"about_ca_system_score_gemma":0.0008659732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1371123,"about_ca_topic_score_gemma":0.2541471,"domain_scores_codex":[0.9998944,0.000008093486,0.000006027822,0.00002829485,0.00002827667,0.00003485395],"domain_scores_gemma":[0.9997067,0.00002498678,0.0001190827,0.0000179554,0.0000588809,0.00007241149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003356421,0.00001107696,0.9919743,0.000008750413,0.00003050832,0.0001431186,0.0002167082,0.0005534893,0.002827351,0.0001653669,0.0001194367,0.00391624],"study_design_scores_gemma":[3.432752e-7,0.000002743614,0.9993935,0.000001069746,0.000001481136,0.00003311869,0.0001015845,0.000274674,0.00004357661,0.00004003126,0.0001071422,8.256919e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991218,0.00004698315,0.00007672866,0.00001904809,7.086758e-7,0.000001332745,0.0001053415,0.000007385713,0.000620551],"genre_scores_gemma":[0.9997889,0.00001549631,0.00003065248,0.000003700618,6.983092e-7,7.176287e-7,0.00008776227,9.949084e-7,0.00007101372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1371123,"threshold_uncertainty_score":0.2726285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679102406930296,"score_gpt":0.254397116249148,"score_spread":0.2176060921798451,"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."}}