{"id":"W2512862868","doi":"","title":"Vulnerability of North American Boreal Peatlands to interactions between climate, hydrology, and wildland fires","year":2013,"lang":"en","type":"article","venue":"Digital Commons - Michigan Tech (Michigan Technological University)","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Boreal; Peat; Hydrology (agriculture); Environmental science; Vulnerability (computing); Climate change; Physical geography; Climatology; Geography; Geology; Oceanography; Archaeology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001310922,0.0003384368,0.0005692476,0.0003372255,0.0002470344,0.00008135499,0.000855441,0.0001385504,0.00004814294],"category_scores_gemma":[0.000175035,0.0003064644,0.0001108965,0.001483549,0.001545736,0.0005949574,0.001409346,0.0005268136,0.0001861107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008778937,"about_ca_system_score_gemma":0.000008443057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008657528,"about_ca_topic_score_gemma":0.01045867,"domain_scores_codex":[0.9981009,0.00009498715,0.0003561781,0.0006736596,0.0002152299,0.0005590983],"domain_scores_gemma":[0.9984618,0.0003543315,0.0002188794,0.0006463994,0.00002578495,0.0002928372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003379772,0.0001804849,0.9720033,0.00001268933,0.00003637009,0.00001596486,0.00007127561,0.00001685729,0.0007132311,0.00009331518,0.0002241354,0.02659858],"study_design_scores_gemma":[0.0003178017,0.0007930387,0.9842575,0.00002203441,0.00003385976,0.00002209055,0.0002623969,0.000242657,0.0007395681,0.0001906978,0.01271947,0.0003989383],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9875367,0.000003325104,0.0001780179,0.0006997309,0.00002377511,0.0006809857,0.0002812629,0.0005011266,0.0100951],"genre_scores_gemma":[0.9992086,0.000007962412,0.0003869179,0.00005363652,0.00001170502,0.000009094936,0.0001176192,0.00002141486,0.0001830009],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02619965,"threshold_uncertainty_score":0.9999387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006536243826770118,"score_gpt":0.1945223879021186,"score_spread":0.1879861440753485,"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."}}