{"id":"W3014646212","doi":"","title":"Estimating Rates of Permafrost Degradation and their Impact on Ecosystems across Alaska and Northwest Canada using the Process-based Permafrost Dynamics Model GIPL as a Component of the Integrated Ecosystem Model (IEM)","year":2016,"lang":"en","type":"article","venue":"AGUFM","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Permafrost; Ecosystem; Environmental science; Component (thermodynamics); Physical geography; Environmental resource management; Ecology; Geology; Geography; Oceanography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003296061,0.0002785922,0.0003476031,0.00003964346,0.0003696201,0.00006779647,0.0002487499,0.00007408152,0.00003142142],"category_scores_gemma":[0.0000426876,0.0001162364,0.00006766115,0.0001768892,0.0001447355,0.000179976,0.00002820096,0.0001214988,7.060107e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007255603,"about_ca_system_score_gemma":0.0005153709,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3812843,"about_ca_topic_score_gemma":0.9462363,"domain_scores_codex":[0.9986249,0.0001016529,0.0004098655,0.0002702583,0.0002754445,0.0003179107],"domain_scores_gemma":[0.9987152,0.0003796607,0.000365999,0.0002839837,0.0001539389,0.0001012743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007654951,0.00001283607,0.4655298,0.000141133,0.00002428724,0.000001057774,0.001299587,0.5292709,0.003145044,0.000005732889,0.000008219156,0.0004848878],"study_design_scores_gemma":[0.0003629657,0.00006551654,0.03901633,0.0004426747,0.00002037917,0.00002658584,0.001607451,0.9564796,0.001782297,0.00003663576,0.00000229218,0.0001572654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336432,0.0001471851,0.0003654695,0.0002239774,0.0001120322,0.0003706708,0.06510136,0.000009115633,0.00002703513],"genre_scores_gemma":[0.9983586,0.00001871797,0.00003620464,0.00008263958,0.00002420206,0.000003451713,0.001452844,0.00001153874,0.00001176607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.564952,"threshold_uncertainty_score":0.6228358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02830493773496683,"score_gpt":0.2680166262496388,"score_spread":0.239711688514672,"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."}}