{"id":"W7119506816","doi":"10.5683/sp3/yp1kll","title":"Thermal erosion and permafrost collapse boost carbon and solute exports, via surface runoff, Bylot Island, Canadian Arctic Archipelago","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Permafrost; Arctic; Biogeochemical cycle; Erosion; Watershed; Hydrology (agriculture); Thermokarst; Archipelago; Sediment","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":[0.000400534,0.0009238481,0.0003999807,0.001955445,0.001115042,0.001665027,0.001256622,0.0005769067,0.004937917],"category_scores_gemma":[0.001632057,0.0003022766,0.0006177009,0.003244692,0.0003689461,0.0004543363,0.0007231648,0.0006729192,0.001772136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006471913,"about_ca_system_score_gemma":0.0109661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9731608,"about_ca_topic_score_gemma":0.9885318,"domain_scores_codex":[0.9997594,0.0000167804,0.00001126281,0.00007002438,0.00007938489,0.00006312851],"domain_scores_gemma":[0.9988771,0.00006208594,0.00008675314,0.0000850082,0.0007062569,0.0001827704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001975226,0.00007867315,0.1238345,0.0004274869,0.0002901825,0.0001188597,0.0001879069,0.00439642,0.0005922832,0.00117728,0.8568967,0.01180212],"study_design_scores_gemma":[0.0002044677,0.00002972834,0.5370032,0.000470485,0.0002129287,0.0001237632,0.0007687895,0.01160874,0.001285383,0.0008136283,0.447373,0.0001058338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02137027,0.0004628767,0.0001044815,0.000349519,0.00005595493,0.00001352237,0.9748,0.0002582791,0.002585179],"genre_scores_gemma":[0.03312551,0.0002951429,0.0005072081,0.0001125382,0.00001884852,0.0000310416,0.9635359,0.00004483003,0.002328896],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0268392,"threshold_uncertainty_score":0.05399448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009365116650752146,"score_gpt":0.2252154404439899,"score_spread":0.2158503237932377,"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."}}