{"id":"W2152072061","doi":"10.1657/1938-4246-46.1.251","title":"Subarctic Thermokarst Ponds: Investigating Recent Landscape Evolution and Sediment Dynamics in Thawed Permafrost of Northern Québec (Canada)","year":2014,"lang":"en","type":"article","venue":"Arctic Antarctic and Alpine Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Center for Northern Studies; Institut National de la Recherche Scientifique","funders":"","keywords":"Thermokarst; Permafrost; Subarctic climate; Geology; Aggradation; Sedimentology; Physical geography; Climate change; Sediment; Peat; Vegetation (pathology); Paleolimnology; Earth science; Hypolimnion; Limnology; Arctic; Environmental science; Oceanography; Ecology; Geomorphology; Structural basin; Fluvial; Geography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002023736,0.0001741583,0.0001899295,0.001108046,0.00121734,0.0007401822,0.0005157231,0.0001904017,0.001718022],"category_scores_gemma":[0.0003765991,0.00009805965,0.0001603593,0.00233252,0.0005284834,0.0002638305,0.0003711908,0.0001796489,0.0001224926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009595729,"about_ca_system_score_gemma":0.005808987,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9821168,"about_ca_topic_score_gemma":0.9951231,"domain_scores_codex":[0.999898,0.000008514341,0.000003097304,0.00002536273,0.00001701522,0.00004799008],"domain_scores_gemma":[0.9996208,0.00002916723,0.00008726049,0.00001343815,0.0001522863,0.00009701396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006270329,0.00002172975,0.9823513,0.00003664279,0.00004459502,0.0001475238,0.001778494,0.0002691069,0.001793073,0.00008657123,0.0004758603,0.01293241],"study_design_scores_gemma":[9.362548e-7,0.000004257006,0.9987096,0.000005469082,0.000003853363,0.00001376998,0.0006712193,0.0001584654,0.0000425614,0.000005245178,0.0003829969,0.000001626045],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979724,0.0002705128,0.00009964277,0.00004307019,0.000001877101,0.00001034909,0.0009096481,0.000007264083,0.0006851663],"genre_scores_gemma":[0.9985729,0.0001395304,0.0001581139,0.00001896803,0.000001269117,0.000006551058,0.000478301,0.000002525927,0.0006217958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01788324,"threshold_uncertainty_score":0.06962228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407147970483823,"score_gpt":0.260425914315383,"score_spread":0.2263544346105448,"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."}}