{"id":"W2792883639","doi":"10.1002/eco.1942","title":"A hydrogeological landscape framework to identify peatland wildfire smouldering hot spots","year":2018,"lang":"en","type":"article","venue":"Ecohydrology","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Syncrude; Government of Alberta; Canadian Natural Resources Limited","keywords":"Peat; Boreal; Environmental science; Water table; Hydrology (agriculture); Groundwater; Hydrogeology; Geology; Physical geography; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003160807,0.00024026,0.0003428081,0.00009546395,0.0002870384,0.00003338029,0.0004718925,0.0003748871,0.006745134],"category_scores_gemma":[0.0001074331,0.0002037653,0.0000820645,0.0003455458,0.0003457393,0.00009655056,0.0005476106,0.0002786106,0.006102577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007319791,"about_ca_system_score_gemma":0.000008596868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001529928,"about_ca_topic_score_gemma":0.0005137227,"domain_scores_codex":[0.9979985,0.00009841679,0.0002511205,0.0006818289,0.0001781563,0.000791929],"domain_scores_gemma":[0.9990841,0.0001165285,0.00007538961,0.0004227679,0.000006637945,0.0002946438],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001975342,0.00008290492,0.9837716,0.000003251381,0.00003040959,0.0001970726,0.0004321068,0.0005381569,0.002695353,0.0002912873,0.009411274,0.002349042],"study_design_scores_gemma":[0.0006786232,0.001008446,0.9044976,0.00001167298,0.00003208765,0.0003403383,0.00001827511,0.00585205,0.0005691093,0.002918194,0.08361442,0.0004591897],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739524,0.00002104764,0.0009833248,0.002033329,0.0005532728,0.0001854593,0.000004275228,0.0001698575,0.02209704],"genre_scores_gemma":[0.9951834,0.000008041285,0.00146722,0.002354699,0.000539916,0.00004212787,0.00001744971,0.00002234564,0.0003648041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07927401,"threshold_uncertainty_score":0.9946713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116155829856562,"score_gpt":0.2759174002320419,"score_spread":0.2643018172463857,"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."}}